In 1838, the invention of the camera sparked predictions that photography would make artists obsolete. When the noted French painter Paul Delaroche first saw an early photograph on a metal plate, he declared that “From today, painting is dead!” As he reasoned, why would anyone pay an artist to slowly and laboriously paint a scene when a camera could do the job more accurately, more quickly, and at a lower cost? 

This question has echoed through technological shifts and has resurfaced with intensity in recent weeks, as university students graduated on campuses across the United States. Today’s topic obviously is not photography but the societal impact of artificial intelligence. And as graduates booed the mention of AI during commencement addresses, they have provided a powerful reminder of several important truths. To start, people will insist on having a say in deciding when and how AI is used. 

The student message to tech leaders  

The reactions of this year’s graduates are a powerful wake-up call for the tech sector. Hopefully, leaders across our industry will listen and seek to learn from this reaction. For the past half century, the youngest generation of people and workers has led the way in adopting new digital technologies. A new Microsoft study shows this trend is true with AI. Counties with large college towns and outsized populations between the ages of 18 and 24 have the highest rates of AI adoption in the United States. When people who use a new technology complain about it, we had better take notice. 

It’s perhaps no surprise that college campuses are among the best places to learn about these emerging views firsthand. Over Memorial Day weekend at Princeton University, I found no shortage of discussion and even examples of student action. Graduating seniors have long donned “beer jackets” for celebrations, each class selecting its own unique design. This past year, however, a brief controversy emerged until class officers, responding to a student petition, rejected a popular design because it had been created with the help of AI. In its place, graduates wore jackets labeled both “100 percent cotton” and “100 percent human.” 

The rejection of artificial fibers and artificial intelligence illustrates how human tastes shape market economics even as efficiency and productivity advance. Machines don’t buy products. People do.  

Students and graduates recognize AI’s benefits. But they want to keep AI in its proper place. They rightly believe in the indispensable role of human agency. They want the future to be determined by humans deciding the role of machines, not by machines deciding the role of humans. And they want these decisions to reflect input from a broad community, especially the next generation of the workforce, rather than just a narrow group of elites. 

Today’s graduates are sending another powerful message as well: the American Dream has always stood for even more than a better job and greater economic opportunity, although that has been at its core. The American Dream has been founded on the dignity of work and the critical role it plays in giving life purpose. Great countries are built on great economies and great jobs. To those in the tech sector who seemingly want to pursue a future where computers replace jobs and AI becomes more capable than people, the next generation of people has offered a compelling response: “not so fast.” 

The ambitions of people 

The good news is that human ambition is irrepressible. It has been almost 300 years since the start of the first industrial revolution, and technology has changed many times over. But there is more human creativity at work in the world today than ever before. 

A trip to an art museum shows this is true even for the impact of the camera on painting. The invention of the camera initially led to a decline in portrait painting. But even that made a comeback. More remarkable was the way accurate photos spurred new forms of artistic expression. By the 1870s, photography’s “artificial eye” led a new generation of artists to portray emotion rather than detail. Impressionist artists captured the effects of light, color, and atmosphere in ways that a camera shutter could not. New artistic movements followed – Post-Impressionism, Fauvism, Cubism, and Surrealism – and continue today, expanding what it means to be an artist. As it turns out, few things are as resilient as human creativity. 

In 1986, I insisted on having a computer on my desk before I accepted a job at a leading law firm in Washington, D.C. For most of the past 40 years, I’ve been part of the tech sector – first as an outside lawyer, then a Microsoft attorney, and since 2001, in the company’s leadership ranks. I’ve long been an informal “liberal arts representative” among a group of extraordinary computer scientists and engineers.  

As I’ve followed technologists across our industry, I’ve often marveled at their vision, intellectual dexterity, and engineering prowess. But I’ve also seen many insightful individuals across the industry repeat two mistakes. First, they frequently overestimate the arrival of new technology, especially the pace of its impact. And even more importantly, they underestimate the capabilities of people. 

Human capability is neither fixed nor finite. Each discovery creates a stronger foundation that enables people to stand taller and reach higher. People have been proving this for millennia. There came a day when people discovered that a horse could run faster than a human. People learned how to ride horses.  

Real causes for concern 

None of this is meant to dismiss the anxiety of today’s graduates. They’re right to raise concerns and ask hard questions, including about AI and its impact on their future. They face multiple headwinds as they enter the job market. This includes AI automation of tasks in current entry-level positions and, especially in the tech sector, corporate pressure to reduce headcount to help pay for AI’s enormous capital expenditures. It also involves other factors, including geopolitical uncertainty, trade tensions, and correction from over-hiring in the early years of the decade. Like a perfect storm, the wind is blowing from multiple directions. 

Today’s graduates have been through a lot. They spent much of their high school years living through a pandemic while studying and socializing at home through a screen. They are digital natives, with all the good and bad that social media, ubiquitous mobile devices, and other technologies have created. Now AI is coming, and they worry that jobs will start to disappear.  

So, what should the next generation – and all the rest of us – do about AI? 

AI in context 

First, we should put AI in context. No one has a crystal ball for the future, but we all can learn from the past. AI is the latest in a list of technologies that will reshape the economy and society. It has become the next “General Purpose Technology,” a term economists apply to technologies that, like electricity, are applied across the economy. Some of these technologies, including ironworking, machine tools, and digital computing, have profoundly reshaped not just job categories but economic power among nations. AI likely will be one of the most important general purpose technologies of the next quarter century. And like previous general purpose technologies, AI will displace some jobs, even as it creates others and changes many of the ways we currently work. 

But it takes time for technology to diffuse across an economy and around the world. There are some who look at the power of AI and predict its massive diffusion in just a few years. It’s always possible that this time will be different, but the world has never previously seen technology diffusion at that pace. The reason is not grounded in technology. It’s people. As Professors Arvind Narayanan and Sayash Kapoor have written, “diffusion is limited by the speed of human, organizational, and institutional change.”  

Put in historical context, broad AI transformation over the next quarter century would itself be remarkable. That pace of change appears to be reflected in Microsoft’s own recent data. Our most recent AI Diffusion Report estimates that 17.8 percent of the world’s working age population currently uses generative AI. The rate in the United States is higher than the global average, but still only at 31.3 percent. And as Professor Narayanan has shown, the impact of new technology across a high percentage of work typically lags well behind this type of initial usage rate.  

As the legendary UCLA basketball coach John Wooden, who led his teams to 10 national championships, advised his players two generations ago, we should “be quick, but don’t hurry.” In other words, we should act quickly and decisively and with preparation and purpose. But we need not – and should not – rush in a way that creates mistakes or panic.  

The key is to think things through. One good way to start is to consider some of the insights that have emerged already. For each of us as individuals. For companies and organizations. And for society.  

The implications for individuals 

In the three-and-a-half years since the release of ChatGPT, one initial insight is profound yet unsurprising. AI often is at its best when we use it to strengthen existing human capabilities and endeavors. In short, people can use AI to make themselves better.  

I see this every day in the work of Microsoft’s AI for Good Lab, which works with non-profits and governments around the world. Firefighters in California are using AI to help spot wildfires more quickly. Legal professionals in Africa are using it to help provide advice to women who don’t have access to a lawyer. Teams in Ukraine are using AI to help identify and remove landmines that threaten civilians. And conservationists around the world are using it to help farmers develop more productive and sustainable agricultural practices. 

There is a clear pattern in these examples. People are acting with ambition. They are using AI not to replace their subject matter expertise but to give it more impact. They are taking their knowledge, passion, and sense of purpose and using AI to help solve problems they care about.  

My colleagues Ryan Roslansky and Aneesh Raman have been focusing on these issues in recent years, based on their longstanding work at LinkedIn. They recently published an important book on the topic, Open to Work: How to Get Ahead in the Age of AI. In my view, it’s the first book that combines a view on where AI is going with practical advice for individuals.  

The more I’ve thought about it, two of their themes are particularly important. The first is for each of us in the workforce today to think about our job not as a title but a bundle of tasks. Their advice is to write down a list of your tasks and put them into three buckets: the bucket of tasks that AI can do; the bucket of tasks that you can do with AI; and the bucket of tasks that humans must do by themselves.  

If almost everything is in the first bucket, then one should think about pursuing a different type of job. But for most people, most tasks fall into the second bucket. In other words, if I can get AI to do the tasks in the first bucket, then I can focus my attention on the second and third buckets and consider how to use AI as a tool to help become more productive and impactful.  

There’s a second insight in the book that is even more important. In an Age of AI, there are perhaps even more opportunities to distinguish ourselves based on the soft skills that are uniquely human. Ryan and Aneesh point to five, all of which start with the letter C – curiosity, creativity, compassion, communications, and courage. Even when AI automates multiple tasks, people must continue to oversee its work. This creates the need for additional human observation and insight. In short, human judgment remains essential. 

All this speaks to one of the questions I hear repeatedly from students and their parents. What should people study to prepare for the future? Call me old fashioned, but I believe people should continue to pursue their passions. Develop expertise in an important field that fascinates you. Keep working hard to master it. At the same time, develop AI fluency so you can use AI to help apply your expertise better than has ever been possible before. This doesn’t mean the future will be easy. It seldom is. But it’s a recipe that will continue to prepare you for success. 

The impact on companies and organizations 

These insights apply as much to organizations as to individuals. After all, employers must thrive for employees to thrive. And successful businesses, like successful individuals, rely on distinctive and often deep expertise – about products, business processes, operating rhythms, and a deep understanding of customers. AI should not replace this foundation; it should strengthen and extend it. 

This can build on where AI technology is going. Organizations can now move beyond chat-based assistants to a network with AI agents that can help employees reason, make decisions, and run workflows across their data and systems.  

Organizations can implement their own AI systems that harness the power of multiple AI models and access their own unique enterprise knowledge. They can strengthen the effectiveness of these systems through AI tools that provide evaluations (“evals”) of a system’s performance and constantly make incremental improvements to it. Like climbing up a hill, each organization can manage an AI system that moves towards better outcomes and higher performance over time. Instead of solely consuming a frontier AI model, organizations can build their own “hill climbing machine” and participate more fully on their own terms in the AI ecosystem. 

By taking this approach, organizations can use AI to accelerate learning rather than replace it. Leaders can use AI to add capabilities inside their organizations, ensuring that their human expertise and judgment remain key competitive differentiators.  

This points to an age-old necessity. Business leaders and individual entrepreneurs must harness the latest technology while protecting their expertise and intellectual property, including through patents, copyrights, and trade secrets. AI adds a new dimension here. The benefits of AI for a business will be short-lived if it transfers and trains someone else’s AI model using a firm’s unique knowledge and expertise. This helps explain why each company needs to develop its own internal AI capabilities and control its own data.  

This is emerging as a critical issue not only for organizations but for today’s graduates, our economies, and even nations. The best way to promote broad economic and job growth is to ensure that every economic sector can harness the power of AI without surrendering its unique expertise. Sovereignty must be preserved not only for countries but for companies. And privacy must be protected not only for individuals but for organizations.  

A broader public conversation 

For individuals and organizations alike, the key is to harness AI’s benefits while preserving timeless human values and economic needs. Given the magnitude of the AI transformation, we’ll need innovative and collaborative efforts that bring the public and private sectors together to help prepare people for success in the Age of AI. This should start with a sobering recognition. The technological, economic, and societal transformations of the past three decades have left too many people behind. We’ll need to try different approaches, built on more shared responsibilities, if we’re going to do better as we move forward.  

Even in a time of fractured public discourse, it will be critical to find more ways to bring more people together to develop common solutions. This requires a big tent with a breadth of perspectives. We need to make room not only for technology companies, employers, and governments, but for non-profits, students, the world’s religions, labor leaders, and workers themselves. As Liz Shuler, the President of the AFL-CIO, said recently, “Who knows best how workplaces function and how work gets done than people who work for a living?” 

Our role at Microsoft 

As a company, we’re committed to playing an active part and constructive role in addressing these issues. We bring not only new technologies and ways of working, but perspective born of experience. For more than 50 years, Microsoft has helped workers and organizations adapt to technological changes, whether in offices, labs, classrooms, or factories. Our mission has been to build products to empower people and organizations to achieve more. And then help them put those tools to work.  

Our experience gives us determination and even a dose of optimism. We remember when people worried that word processing would lead to the end of jobs for people who typed for a living. But what came next – knowledge work and entirely new industries to support the computer age – transformed what “work” was. When spreadsheets automated calculations, people didn’t do less math. They built more sophisticated financial models. When emails made communication instant, people didn’t write less. They communicated more frequently and with more people. When technology increases supply, human ambition often generates more demand. As humans, we don’t plateau. We expand. 

This isn’t just philosophical. It’s our business model. Workers have been Microsoft’s lifeblood from the start. If the world’s people don’t have jobs, then neither do we. And if we’re not doing our part to help people use technology to pursue better jobs, then we’re not doing the job we were born to do. 

Heeding the next generation’s call 

This context shapes our reaction to recent commencement ceremonies. Graduating students who grimace or even boo at references to AI are telling us what we need to hear, that it’s time once again to raise the bar. That has been a frequent refrain from students for decades. The key is always to channel uncertainty into purposeful steps that build a better future. Across the tech sector and in business, non-profits, and government, we can do precisely that. 

I would add a second message for today’s graduates: you’re in a unique position to have a positive impact. You’ve lived through significant challenges. While it may feel unfair that the job market is so uncertain, you were made for this moment. Technology is second nature to your generation. Constant change has taught you how to adapt quickly. As AI reshapes how we work, you don’t need to unlearn decades of habits the way some of us do. You are better equipped to move forward.   

Technology will change, but you can stand firmly and speak loudly for values that are timeless. Agency. Ambition. Dignity. All fulfilled through work and technology that gives us purpose.  

Do everything you can to help advance these values.  

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Artificial intelligence is accelerating discovery across the life sciences. From drug development to materials science, AI is helping researchers move faster and solve problems once thought intractable. This convergence of AI and biology holds extraordinary promise for human health, economic growth, and scientific leadership.

At the same time, advances in AI technologies are introducing new risks, like re-engineered toxins and pathogens. As these tools become more capable and widely accessible, they can lower barriers not only to scientific discovery, but also to accidental harm and deliberate misuse. For example, recent research has shown that specialized AI tools for protein design can be used to re-engineer toxins in ways that may preserve harmful function while evading some existing synthesis safeguards. That work revealed vulnerabilities in screening systems designed for an earlier technological era—and also showed that those systems can be strengthened through coordinated action across industry, government, and the scientific community. 

Rising biosecurity concerns are not a reason to slow innovation, but they are a reason to strengthen our defenses. History shows that powerful general-purpose technologies become more accessible—as with advances in networking and computing—effective governance depends on developing technical and policy safeguards early, before misuse outpaces controls and oversight. The convergence of AI and biology presents a similar challenge: we must preserve the openness that fuels discovery while modernizing protections for a new era of capability.   

This blog examines how advances across the AI-biology ecosystem are reshaping both opportunity and risk. It explains why nucleic acid synthesis screening has emerged as a critical control point, and how government, industry, and the scientific community can work together to strengthen biosecurity without slowing innovation. 

AI and biotechnology at the frontier  

To better understand the trajectory of AI capabilities in the biosciences—and the associated policy and risk landscape—it is useful to distinguish among four related types of advances. Each matter on its own, but effective policy will need to account for how these advances increasingly interact and reinforce one another.    

1. Generalist models.  Advances in general-purpose AI models, such as ChatGPT, Gemini, Claude, and others, are expanding the range and sophistication of what these systems can understand, reason through, plan, and generate across domains. As they become more powerful, they raise baseline capabilities and lower barriers to sophisticated technical work. 
2. Specialized biological design tools.  Computer scientists and biologists continue to develop specialist AI code bases aimed at performing computation in support of increasingly sophisticated biological tasks.  These tools, typically open-sourced and shared widely, include programs that compute protein structure from amino –acid sequences and design proteins with specific structures and properties .   
3. Laboratory automation. Advances in computer vision, robotics, and experimental workflows are bringing new efficiencies to laboratory work. Over time, these systems may allow researchers to generate, test, and refine biological designs at greater scale and speed.   
4. Agentic systems.  Agentic programming environments and run–times (including increasingly powerful AI-based engineering tools, e.g., Claude code) are making it easier to combine generalist AI models, specialist libraries, and laboratory workflows into coordinated pipelines.  This may allow less experienced actors to move more readily from computational design to real-world synthesis, including through nucleic acid synthesis services or automated laboratory systems.   

While each category can be analyzed separately, the most consequential developments arise from how these capabilities increasingly interact. Improvements in generalist models can make specialized biological tools easier to use; those tools make it easier to engineer biology; automated laboratories provide non-experts with access to sophisticated laboratory workflows; and agentic programming tools can connect these elements into integrated design, analysis, and synthesis workflows. Together, these advances are forming a converging “capability stack”—one that can accelerate innovation but lead to a more complex policy and risk landscape.

Why nucleic acid synthesis screening matters

These developments make clear that effective governance must focus not only on frontier models but also  expand to consider multiple practical control points.

One of the most effective near‑term defenses against biological misuse is nucleic acid synthesis screening. Synthetic DNA providers sit at a critical checkpoint in the biotechnology ecosystem. They are often the place where theoretical biological designs are translated into physical reality. Screening DNA orders and verifying customers helps ensure that powerful tools are used for legitimate purposes and not diverted toward harm.

Today, however, most DNA synthesis screening remains voluntary and unevenly applied. Standards vary across providers, and there is no universal requirement that all orders be screened to the same level. As AI‑enabled design tools grow more powerful, these gaps become more consequential.

Strengthening nucleic acid synthesis screening is a pragmatic and targeted response. It does not regulate ideas or restrict legitimate research. Instead, it focuses on responsible access to sensitive capabilities, reinforcing a line of defense that already exists but must now be modernized. The necessity and viability of such modernization was demonstrated by the Paraphrase Project, led by Microsoft. By stress-testing existing screening systems against AI-designed biological sequences, the project showed both where safeguards could fail and how they could be improved. The effort followed a familiar model from cybersecurity: responsible disclosure, red teaming, and rapid deployment of fixes. It highlights how biosecurity tools, like software, must evolve continuously to keep pace with changing threats.

Bipartisan momentum and durable government action

The importance of biosecurity in the age of AI has been recognized across administrations and parties. On May 5, 2025, the Trump Administration released an Executive Order on Improving the Safety and Security of Biological Research, emphasizing the importance of nucleic acid synthesis screening and calling for broader biosecurity oversight. That action built on work that began in 2024, when the White House Office of Science and Technology Policy set out a federal framework emphasizing comprehensive screening, customer verification, and the development of technical standards in partnership with industry.    

Leaders in Congress are now building on this foundation. Earlier this year, Senators Cotton and Klobuchar introduced the Biosecurity Modernization and Innovation Act, known as S. 3741. The bill reflects a bipartisan commitment to strengthening U.S. biosecurity while sustaining scientific leadership and innovation. It would establish mandatory screening requirements (extending beyond current requirements for screening for federally funded research), conformity assessments, and enforcement mechanisms, while also advancing practical implementation through technical assistance and a biotechnology governance sandbox to promote exploratory efforts. The bill also directs OSTP to conduct a 90-day assessment of biosecurity authorities and develop a plan to consolidate oversight to improve efficiency and effectiveness.

Taken together, these efforts reflect a durable consensus: safeguarding biotechnology in the AI era is a national security priority.

Responsible innovation in practice

Supporting innovation while reducing risk will require a balanced approach grounded in continuous monitoring of emerging capabilities, investment in technical safeguards, and thoughtful policy development.

Nucleic acid synthesis screening is not a comprehensive solution, but it is an essential one. Strengthening it now—through bipartisan legislation, thoughtful regulation, and continued public‑private collaboration—would represent the type of balanced, durable action that this moment requires.

The Biosecurity Modernization and Innovation Act would help advance that goal by pairing stronger screening requirements with practical implementation tools and oversight mechanisms. Microsoft strongly supports efforts like this that build on our longstanding work with researchers, synthesis providers, and other partners to strengthen safeguards while sustaining innovation.

The United States has an opportunity to continue to lead by pairing innovation with responsible stewardship. If we get this balance right, we can reap the rewards of AI-enabled biotechnology while guarding against its risks—for this generation and the next.

 

Additional resources:

• The Paraphrase Project: Designing defense for an era of synthetic biology – Microsoft Research
• What does it mean to paraphrase a protein? – Microsoft Research 
• When AI Meets Biology: Promise, Risk, and Responsibility – Microsoft Research
• Ideas: More AI-resilient biosecurity with the Paraphrase Project – Microsoft Research

 

 

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More than 30 percent of the US working-age population is using AI, an increase of three percentage points from the end of 2025. But what does that number mean, and what lessons should we take from it? Today Microsoft released a new report that offers an in-depth look at AI adoption across the United States, allowing for the first time a state- and county-level review. This data and the trends it shows are important.

On a national basis, the US leads the world in AI innovation but ranks just 21st in global AI adoption. Part of the reason for this gap is a clear and uneven pattern of AI adoption across the country. We are also seeing a significant divide between urban and rural counties in AI usage. Usage averages 32.9 percent in metropolitan counties, compared with 16.2 percent in rural areas. In other words, metropolitan usage is about double what we see across rural America.

The study also shows that another powerful driver of AI diffusion is the presence of colleges and universities. Counties with higher shares of residents aged 18 to 24 have significantly higher AI usage rates—28.6 percent compared with 20.3 percent in other counties. And while college students are some of the most vocal about the risks of AI, they are also helping lead adoption. In counties with college towns like Williamsburg, Virginia, and Story, Iowa, we see usage rates that rival the highest in the world.

 

Read the Microsoft US AI Diffusion Report.

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Today we published our latest Global AI Diffusion Report. The global adoption of artificial intelligence continued to rise in the first quarter of 2026. During the quarter, AI usage increased by 1.5 percentage points from 16.3% to 17.8% of the world’s working age population. Intensity of use among economies with the highest rates of AI diffusion also increased, with 26 economies now exceeding 30% of the working age population using AI.

At the top of Microsoft’s National AI Leaderboard, the UAE continued to lead global AI diffusion at 70.1%. The United States finally started to move up the national rankings, albeit only from 24th to 21st based on a 31.3% usage rate by the working age population.

Notable developments in the quarter included accelerating AI adoption in Asia driven in part by improving AI capabilities in Asian languages. South Korea, Thailand, and Japan saw the greatest movement. More broadly, the quarter brought continued widening of the AI gap between the Global North and South, with usage now at 27.5% in the North and 15.4% in the South. These trends are discussed below, including a deeper dive on the positive impact of enhanced multilingual AI capabilities in Japan.

To track all these trends, we continue to measure AI diffusion as the share of people worldwide between ages 15 and 64 who have used a generative AI product during the reported period. This measure is derived from aggregated and anonymized Microsoft telemetry and adjusted to reflect differences in OS and device-market share, internet penetration, and country population. Additional details on the methodology are available in our AI Diffusion technical paper.^[1]

No single metric is perfect, and this one is no exception. Through the Microsoft AI Economy Institute, we continue to refine how we measure AI diffusion globally, including how adoption varies across countries in ways that best advance priorities such as scientific discovery and productivity gains. For this report, we rely on the strongest cross-country measure available today, and we expect to complement it over time with additional indicators as they emerge and mature.

Sectorally, the quarter saw strengthened AI coding capabilities leading to a dramatic increase in production of software code. This was reflected in production by Anthropic’s Claude Code, the OpenAI’s Codex, and Microsoft’s GitHub Copilot. Git pushes – through which software developers put coding changes online – increased 78% year over year globally. Interestingly, the quarter brought added evidence that, at least for now, AI coding capabilities may be increasing demand for the employment of software developers.

As discussed in more detail in the report, when developer productivity increases, the cost of building software declines. If demand for software is elastic, organizations can respond by building more software across a wider range of use cases. It is still too early to know the full labor-market impact of AI-assisted coding, but the available data shows that in 2025, total U.S. software developer employment reached approximately 2.2 million, rising 8.5% year over year and marking a record high for the profession. Early data for the first quarter of 2026 shows that software developer employment in March 2026 was about 4% higher than in March 2025.

Download the latest Global AI Diffusion report. and explore the data here.

 

[1] A. Misra, J. Wang, S. McCullers, K. White, and J., L. Ferres, “Measuring AI Diffusion: A Population Normalized Metric for Tracking Global AI Usage,” Nov. 04, 2025, arXiv: arXiv:2511.02781. doi: 10.48550/arXiv.2511.02781. 

 

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Today, Microsoft is announcing new agreements with the Center for AI Standards and Innovation (CAISI) in the US and the AI Security Institute (AISI) in the UK to advance the science of AI testing and evaluation, including through collaborative work to test Microsoft’s frontier models, assess safeguards, and help mitigate national security and large-scale public safety risks. These agreements matter because ongoing, rigorous testing is essential to building trust and confidence in advanced AI systems. Well-constructed tests help us understand whether our systems are working as intended and delivering the benefits they are designed to provide. Testing also helps us stay ahead of risks, such as AI-driven cyberattacks and other criminal misuses of AI systems, that can emerge once advanced AI systems are deployed in the world. 

While Microsoft regularly undertakes many types of AI testing on its own, testing for national security and large-scale public safety risks necessarily must be a collaborative endeavor with governments. This type of testing depends on deep technical, scientific, and national security expertise that is uniquely held by institutions like CAISI in the US and AISI in the UK and the government agencies they work with. By combining that government expertise with Microsoft’s experience building and deploying AI systems at global scale, together we are better positioned to anticipate and manage national security and public safety risks in ways that build public trust and confidence in advanced AI systems.  

Improving AI evaluation science through cooperative research and operational experience 

Advancing the science of AI evaluation requires more than isolated research or one-off testing. It depends on sustained collaboration between industry, government, and research institutions. Through our new and expanded partnerships with the US and UK governments—alongside national security–focused evaluations of model capabilities—Microsoft is bringing technical expertise and operational experience to strengthen AI evaluation methods and practical testing foundations.  

• In the US, with CAISI, Microsoft and NIST will collaborate on improving methodologies for adversarial assessments—testing AI systems in ways that probe unexpected behaviors, misuse pathways, and failure modes, much like stress-testing whether airbags, seatbelts, and braking systems work effectively and reliably in safety-critical driving scenarios. This work involves co-developing more systematic and reproducible approaches to evaluation, including shared frameworks, datasets, and workflows for assessing safety, security, and robustness risks in advanced AI systems. It also builds on our AI Red Team’s novel research and tools to detect compromised models at scale. 

• In the UK, with AISI, Microsoft will collaborate on research related to frontier safety and security, including methods for evaluating high-risk capabilities and the effectiveness of the safeguards used to address them. The partnership will also include societal resilience research examining how conversational AI systems interact with users in sensitive contexts.  

These collaborations are designed to improve measurement science, evaluation methodologies, practical testing workflows, and real-world mitigation impact. They reflect a shared commitment to rigorous, practical approaches that can make safeguards stronger and evaluations more reliable. 

Looking ahead 

No organization can address these challenges alone. Our partnerships with CAISI and AISI are a key part of a wider effort to build the institutions, research base, and shared methodologies needed for effective AI testing. This effort also includes: 

• Pursuing research and evaluation in collaboration with other AI institutes globally while helping advance shared priorities and methodologies for testing through the International Network for AI Measurement, Evaluation and Science. 

• Helping deliver industry best practices through the Frontier Model Forum (FMF), an initiative dedicated to advancing the science and practice of frontier AI safety and security. Through the FMF, we are working with other leading AI developers to support independent research, develop shared evaluation methodologies, and promote transparency around risk mitigation strategies.  

• Contributing to MLCommons, a multistakeholder non-profit that develops and operationalizes testing tools such as AILuminate, a family of safety and security benchmarks. In February, we announced efforts underway with institutions in India, Japan, Korea, and Singapore to expand AILuminate to support multilingual, multicultural, and multimodal evaluation, helping to make sure that AI systems work well in the languages and cultural contexts in which people around the world use them. 

As AI capabilities advance, so too must the rigor of the testing and safeguards that underpin them. We will apply what we learn from these partnerships directly into how we design, test, and deploy AI systems, ensuring that progress in evaluation science translates into safer, more secure products for our customers. As these partnerships progress, we will share what we learn and look for opportunities to apply insights and best practices to AI testing more broadly.   

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Cybersecurity is at a turning point. Advanced AI models are dramatically accelerating vulnerability discovery and creating conditions ripe for exploitation, underscored by the announcement of Claude Mythos Preview. This marks a shift, and whether this technology will favor defenders or attackers will depend on the choices we make now. 

With the right safeguards, these capabilities can help trusted defenders identify and fix vulnerabilities across critical systems in hospitals, power grids, water, and telecommunications. Released irresponsibly or not properly secured, however, those same capabilities could be abused by malicious actors, threatening the foundations of our digital ecosystem. 

Much of the discussion has rightly focused on risks. As advanced AI models speed up the discovery of vulnerabilities, the way we fix them must speed up too. That means stronger pre-deployment risk assessments and close collaboration between governments, frontier AI developers, software providers, and the broader ecosystem to ensure these tools reduce, rather than increase, cyber risk. This is particularly important as AI systems themselves have become high‑value targets, requiring stronger protection of models, systems, data, and underlying infrastructure. 

This is ultimately an international challenge. Neither software supply chains nor threat actors stop at borders. Neither can our response. Meeting this moment will require shared approaches across countries, sectors, and systems—rooted in trust, shared standards, resilience, and responsible use. 

This moment is also an opportunity. Security has been and remains the top priority at Microsoft. Over the last two years, through our  Secure Future Initiative, we have strengthened our security foundations for this age of AI, in part by using AI to accelerate vulnerability discovery and remediation. We have also invested in fundamental AI for security research, including the development of open-source industry benchmarks that can be used to evaluate whether models are ready for real-world security work. We are accelerating that work through deeper public-private collaboration and in partnership with AI, including Anthropic’s Project Glasswing and OpenAI’s Trusted Access for Cyber program. 

Securing our digital ecosystem with next‑generation AI is within reach but is not automatic.  

Building secure foundations for the era of frontier AI  

Ensuring advanced AI technologies are used to strengthen cybersecurity requires deliberate and urgent action. We are sharing the following recommendations as practical steps governments, industry, and the broader ecosystem can take to ensure these tools, often referred to as “frontier AI”, reinforce the security foundations on which digital societies depend. And we hope to continue to partner with model providers, industry and government so we can work together to improve security outcomes for all. 

1. Reinforce core cybersecurity practices  

Advanced AI can strengthen cybersecurity only when strong, consistent cyber hygiene is already in place. As frontier AI accelerates vulnerability discovery and response, core practices such as rapid patching, access control, and system resilience become more critical, not less. 

Security gains in the frontier AI era depend on close coordination between technology providers advancing new capabilities and the organizations responsible for operating, updating, and securing real‑world systems. Without this interdependence, advanced AI cannot deliver durable improvements in security. No organization can solve these cybersecurity problems alone. 

That is why sustained investment in what we know works remains essential: secure‑by‑design product lifecycles, Zero Trust architectures, multi‑factor authentication, least‑privileged access, and ongoing security training. Broad adoption and harmonization of established cybersecurity frameworks to ensure consistent resilience across AI‑enabled systems. Trusted cloud environments that enable these practices at scale, supporting secure data handling, continuous patching, and the secure deployment of AI‑enabled tools for defenders.  

  2. Release advanced capabilities responsibly  

As frontier AI systems gain reasoning, coding, and agentic capabilities, some of the most serious security risks arise before deployment, including realistic misuse involving multi‑step reasoning, tool use, and reconnaissance. Technical safety benchmarks remain important, but they are insufficient without rigorous, real‑world testing.  

As a result, governments are increasingly establishing pre‑deployment evaluations that combine technical testing with threat modeling. These assessments are most effective when frontier developers work closely with organizations that track national‑security risks. Investing in secure evaluation environments and modern testing methods can help governments keep pace as capabilities advance.  

Responsible release practices, including phased and controlled access, are a critical extension of this approach. Our work with Anthropic in Project Glasswing offers one practical model, enabling trusted defenders to evaluate advanced capabilities in constrained settings prior to broader release. Similarly, OpenAI and Microsoft work closely through Trusted Access for Cyber program, and we already support OpenAI’s use of scoped, early deployments for safety and security testing.  

Responsibility does not end at release. Organizations that deploy frontier models are often best positioned to detect emerging misuse and should monitor, mitigate, and share threat information. Microsoft is working with peers through the Frontier Model Forum to advance best practices for evaluating and managing cyber risk and enable information sharing. Governments should encourage continued industry collaboration to restrict access for identified threat actors and counter adversarial or malicious use of advanced AI. 

  3. Modernize vulnerability management  

AI is changing both the speed of vulnerability discovery and what constitutes meaningful security risk. Faster discovery only improves security if triage, validation, and remediation can keep up. 

As AI accelerates discovery, vulnerability management must shift from tracking raw volume to reducing real‑world risk. That means prioritizing vulnerabilities that are genuinely exploitable, assigning clear responsibility for triage and remediation, and using phased, risk‑based disclosure when private coordination improves safety. Above all, systems must be designed around validation and realistic remediation capacity, not the assumption that more findings automatically lead to better security. 

Developers of frontier AI models should embed vulnerability coordination and disclosure directly into responsible‑release frameworks. And work with governments and industry to ensure findings are routed to the right owners, acted on early, and supported by clear coordination pathways. 

  4. Fix faster: Strengthen and accelerate response and remediation 

As AI accelerates vulnerability discovery, remediation must keep pace. Initiatives such as DARPA’s AI Cyber Challenge show how AI can help both find and fix flaws in open‑source software. Hardening defenses requires investment not just in detection tools but in the people, processes, and infrastructure responsible for fixing vulnerabilities, especially in critical sectors. 

Much of the software underpinning critical infrastructure relies on open‑source components maintained by small teams or volunteers with limited security capacity. A surge in AI‑enabled discovery risks overwhelming existing triage and disclosure processes. Efforts such as the GitHub Secure Open Source Fund, alongside investments by Microsoft and others through the Linux Foundation, Alpha‑Omega, and OpenSSF, are helping maintainers adapt in ways that are practical and aligned with existing workflows.  

Governments should treat remediation capacity as a core resilience priority, including sustained investment in and support for maintainers, surge capacity during large discovery events, and modernized disclosure pathways—recognizing that effective remediation still largely depends on human judgment, coordination, and time.  

  5. Advance AI security internationally 

AI security is essential to deploy AI at scale. Because AI systems, supply chains, and the risks they introduce operate across borders, national approaches alone will not be sufficient. 

Governments and industry should work together to build interoperable international foundations for AI security, including risk evaluation, coordinated vulnerability disclosure, and information sharing. Priorities should include strengthening the defensive use of AI, preventing misuse through shared norms and safeguards, and securing AI systems- and the AI technology stack.  

Global participation is critical. Countries and organizations with limited cybersecurity resources or legacy infrastructure are often the most exposed. International cooperation should prioritize capacity‑building, ensuring that the security benefits of AI are realized broadly and equitably. 

AI security is not just a safeguard; it is an enabler for innovation and growth. By acting collectively and moving quickly, governments and industry can strengthen global digital resilience and unlock the trusted adoption of AI across economies, critical infrastructure, and public services.

Meeting the moment: Use frontier AI capabilities to build trust and confidence  

Meeting this moment is ultimately about trust: not in any single technology or provider, but in our collective ability to introduce advanced AI responsibly.  

Used deliberately and built on strong security foundations, these capabilities can strengthen cybersecurity and reinforce confidence in the systems society depends on. The choice is not between innovation and security but whether we enable them to reinforce one another. 

That outcome is within reach. With governments, industry, and infrastructure operators aligned, advanced AI can be deployed in ways that match real‑world defensive capacity and support trusted, lawful action. Done right and working together, frontier AI can help protect the digital infrastructure that underpins modern life and build lasting confidence in its resilience. 

 

For more than a decade, the Microsoft Digital Crimes Unit (DCU) has persistently disrupted cybercrime and nation-state threats targeting people, organizations, and critical infrastructure. Explore major disruptions—and the ongoing cases and operations behind them here: Disrupting cyberthreats since 2008 | Microsoft

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We are living through a moment that will be defined not only by advanced technology and AI, but by the real-world infrastructure that makes it possible. And that infrastructure will be built the way critical infrastructure has always been built—by electricians, ironworkers, pipefitters, operating engineers, laborers, and the many other skilled professionals who turn plans into places and progress.

In a world that can feel increasingly virtual, there are millions of skilled trade professionals who remind us of a simple truth: what happens next still depends on uniquely human skills and what we can create, build, wire, weld, install, and maintain.

At Microsoft, we are honored to partner with North America’s Building Trades Unions (NABTU) to invest in the people who build with us. Today we are announcing an expanded partnership to support a strong, skilled workforce pipeline and help workers across North America build the skills needed to succeed in an AI-powered economy.

We believe that the North American skilled trades workforce is one of the most talented workforce systems. This week, thousands of these talented workers from across North America gather in Washington, DC for their annual Legislative Conference, an annual convening that reflects both the enduring strength of the trades and the country’s need for what they do.

As part of our Community-First approach to AI infrastructure we committed to investing in the places where we build, in the people who build with us, and in the long-term capacity of local economies. AI is a tool we will use, and I believe it will help in ways we plan and manage work, but it will not replace the experience, judgment, and craft that define the trades. Instead, it can amplify those human skills: helping people work more safely, learning more quickly, and delivering higher-quality outcomes on increasingly complex job sites.

Bringing AI literacy to millions of trades professionals

Our collaboration with NABTU is built on a simple but powerful idea: the people building the future should also be equipped to thrive in it.

Over the past year, we have worked together to bring AI literacy directly into the apprenticeship and training infrastructure that NABTU operates across all 50 states and Canada. More than 1,500 instructors in hands-on training centers nationwide have already participated. That early momentum confirmed that when you meet workers where they are, with content designed for how they actually work, the true benefit of AI can be felt.

Today, we are expanding that effort significantly. Beginning now, no-cost AI literacy courses tailored specifically for the skilled trades are available on LinkedIn Learning, open to instructors, apprentices, and journey-level workers across North America. One course is designed for faculty and staff in apprenticeship training environments. The other is built for apprentices and journey-level professionals who are on job sites every day. Upon completion, participants earn an industry-recognized AI literacy credential—a tangible marker of readiness that travels with them throughout their careers.

We are also extending our partnership to TradesFutures, NABTU’s affiliated nonprofit that recruits, prepares, and connects people to union construction apprenticeship programs across 34 states. Through TradesFutures, we will expand awareness of careers in data center construction alongside AI literacy and link opportunity with infrastructure being built today with the skills that will define tomorrow. The training will be available to all TradesFutures Apprenticeship Readiness Programs, which operate in community-based workforce development settings, high schools, correctional facilities, and labor organizations.

Building on a foundation of partnership with labor unions

There is a question at the center of every conversation about AI and work: who gets to participate?

For too long, the answer has defaulted to those already inside the technology sector or sitting behind desks. But the reality of the AI economy is far broader than any single industry.

At Microsoft, we believe that AI literacy should be as foundational as safety training on a job site. It is not about turning electricians into software engineers. It is about ensuring that an apprentice learning to install electrical systems in a data center also understands the technology those systems support and can use AI tools to work more safely, more efficiently, and with greater confidence.

That philosophy aligns directly with how we think about jobs and skills at Microsoft Elevate—not as a one-time event but as an ongoing investment in human potential that increases the opportunity for all.

This work with NABTU is part of a broader pattern of partnership between Microsoft and the labor community. In December 2023, Microsoft and the AFL-CIO announced a first-of-its-kind partnership between a technology company and a national labor organization focused on AI. That agreement established a framework for sharing AI insights with labor leaders, incorporating worker perspectives into technology development, and shaping public policy that supports frontline workers.

Since then, through our Microsoft Elevate initiative, we have continued to deepen our engagement with workforce organizations, educators, and community institutions. From partnerships with the American Federation of Teachers on the National Academy for AI Instruction to the National Education Association and National Association of Workforce Boards, our work with community colleges across the country, the thread that connects all of this work is a commitment to meeting people where they are—and making sure they have the skills and credentials to move forward.

The road ahead

Technology only fulfills its promise when it lifts people up, and the opportunity here is enormous. For this sector, for every industry that depends on it, for organizations of every size, and for individual workers and entrepreneurs. But it will only be realized if AI is designed and deployed around the realities of the work. In the trades, that means tools that are practical, trusted, and tailored so that AI can help more people stay in the field doing what they love, while opening doors to new kinds of growth.

Think about what that can mean for a contractor who’s running a small shop after a full day on the job: AI that helps draft and send invoices faster, reconcile receipts, and keep paperwork from piling up late at night. Or AI that can sift through public records—permits, zoning updates, capital plans, and procurement notices—to spot building trends in a community and flag where demand is headed next. Or tools that help identify bid opportunities and assemble first-draft scopes and materials lists based on prior jobs. On the job site itself, we believe AI can support safer work, such as summarizing daily plans, translating instructions, and surfacing the right checklist or standard, so people can focus on the work that requires human judgment.

There remain big questions about the impact of AI, and while we do not yet have all the answers, we do know that the future will not be built by technology alone. It will be built by the people who show up every day with skill and purpose to construct the world we all want to live in. If we continue to work together, AI can help expand opportunities: stronger businesses, safer job sites, better projects, and more people able to earn a great living in the communities they call home.

 

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For more than 40 years, Microsoft has supported and scaled Canadian innovation. Now, with more than 5,300 employees and 11 offices across Canada, Microsoft Canada’s technology ecosystem is a trusted partner and key driver of economic opportunity across the country, with $60 billion contributed to Canada’s GDP each year through our cloud customers and partner network and more than 426,000 jobs supported—over 2% of Canada’s workforce.  

As we look ahead, we are proud to be building the critical infrastructure Canada needs to power its digital future. 

In December 2025, Microsoft announced the largest investment in our history in Canada, a $19 billion commitment between 2023 and 2027 to expand cloud and AI infrastructure, strengthen digital sovereignty, advance cybersecurity, and support skills and jobs for Canadians. 

Today, as we move from investment to implementation, we want to share how we are putting those commitments into practice through a Community-First approach to AI infrastructure, one that is globally consistent in principle and delivered in ways that reflect Canada’s communities, institutions, and priorities. 

Community First, Built for Canada 

AI infrastructure brings enormous opportunity. But we know Canadians also have real questions about affordability, energy and water use, jobs, and the impact large-scale infrastructure has on local communities. 

Those questions matter. Technological progress only works when communities see themselves in the benefits.  

At Microsoft, we believe communities should share in the benefits of AI infrastructure, and they should not bear the costs. That belief is reflected in five Community–First principles that guide how we build and operate datacentres around the world—and how we partner locally in Canada: 

Together, these principles shape how we build and operate our datacentres across Ontario and Québec and how we partner with governments, utilities, educators, community organizations, labour groups, and local nonprofits.

Below, we outline what each principle means in practice and the concrete steps we are taking to put these commitments into action here in Canada.

Paying our way on electricity

As Canada expands AI and cloud capacity, electricity systems are under pressure. Microsoft is committed to ensuring that our datacentres do not increase electricity prices for Canadians. In practical terms, this means that our infrastructure growth must be matched by responsible planning, full cost recovery, and investments that support long-term system reliability.

While electricity systems are provincially governed and solutions vary by region, our commitment is consistent across the country: AI infrastructure growth must support grid resilience and affordability for communities.

To deliver on this principle, Microsoft will:

• Work closely with provinces, utilities, system operators, and regulators to plan new supply in advance
• Design and operate highly energy-efficient datacentres
• Support public policies that advance affordable, reliable, and sustainable power
• Pay the full cost of the electricity we use, including the cost of new generation, transmission, and grid upgrades

Our commitment in action

In Ontario and Québec, we are working closely with provincial governments, utilities, system operators, and regulators to align datacentre growth with planned investments in generation and transmission.

We pay the full cost of the electricity we use. We also continue to design and operate next-generation datacentres that are significantly more energy efficient, reducing the amount of energy required for each unit of computing while scaling to meet growing demand.

To date, we have also paid for substations and fully dedicated the substations and land to provincial utilities. By paying our full share and planning ahead, we aim to support Canada’s economic growth without overstressing the electric grid or shifting costs onto households or small businesses.

Managing water responsibly 

Canada’s cooler climate is a real advantage when it comes to water stewardship. In Ontario and Québec, our datacentres are designed with a reduction-first approach, relying primarily on outside air and using water for cooling less than 5% of the year. When water is used, it is cycled efficiently through the system multiple times and managed in compliance with local regulations. This results in relatively low projected water withdrawals that reflect both local conditions and responsible designs. 

Microsoft’s approach to water in Canada prioritizes: 

• Minimizing potable water use through efficient design and advanced, industry-leading cooling technologies that maximize free air cooling, limiting the use of water 
• Transparency and early engagement with provincial and local authorities on water decisions 

Where communities identify opportunities to strengthen local water systems, we believe infrastructure investment should contribute to broader watershed health, not compete with it. 

Our commitment in action 

To bring this principle to life, Microsoft is taking locally grounded steps to strengthen water systems in the Canadian communities where we operate. 

In Ontario and Québec, we will partner on region–specific water projects that improve infrastructure resilience, restore watersheds, and support long-term stewardship. These projects, developed with local governments, conservation partners, and research institutions, include: 

• Rainwater harvesting: We design our facilities to make use of what is already available. We’ve implemented rainwater harvesting that further offsets freshwater demand. Our on‑site systems are projected to capture approximately 1.5 million litres of rainwater per year for use in datacentre operations. 
• LEED Gold certification is incorporated into Canadian datacentre designs. All Canadian datacentres will be monitored throughout the construction lifecycle and will undergo the certification process as they near completion.  
• Wetland and watershed restoration initiatives that improve water quality and reduce flood risk, including supporting Ducks Unlimited Canada to plant hundreds of trees and shrubs in the Lorette River Watershed. 
• Projects that strengthen monitoring, conservation, and long-term ecosystem health, including a donation toward the preservation of 325 acres of wetland in the Niagara Escarpment. 

Together, these efforts reflect a reduction first approach: minimizing reliance on potable water in our datacentres while investing in the resilience of shared water systems communities depend on every day. 

Creating jobs and economic opportunity 

In Canada, Microsoft’s datacentre construction is delivered through unionized skilled trades labour, supporting high quality jobs, strong safety standards, and apprenticeship pathways. Beyond construction, our focus is on building durable pathways into long–term careers connected to AI infrastructure and the digital economy. Through partnerships with educators, workforce organizations, and labour groups, Microsoft is working to ensure that Canadians can access the jobs created by this investment. 

Our commitment in action

We are advancing this principle through several concrete steps: 

• Increasing transparency: We will publish clearer information on the jobs created and local suppliers engaged at our Canadian datacentre sites. This will include aggregated national figures, with local detail available where appropriate, providing communities, governments, and stakeholders with a clearer picture of how AI infrastructure investment supports local economies. Microsoft’s datacentre builds in Canada employ approximately 2,000 individuals across sites during construction. Additionally, more than 400 Canadian businesses are involved during the construction phase. Once built and operational, Microsoft’s Canadian datacentres will employ approximately 250 FTEs, and approximately 400 contractors to maintain and operate its sites.  

• Deepening labour partnerships: We will continue to work with Canadian trade unions and workforce organizations, leveraging existing North American relationships and Canadian labour expertise to support safe, skilled, and inclusive job creation. 

Contributing to local communities 

Datacentres are long–term investments. They contribute directly to municipal tax bases, helping fund essential public services, without asking for special tax treatment. 

The arrival of a corporate citizen like Microsoft is a real benefit to our community in L’Ancienne-Lorette, particularly through significant contribution to municipal tax revenues. It also points to a positive impact on community engagement, with discussions already underway.” 

-  Gaétan Pageau, Mayor, City of L’Ancienne-Lorette

Strong communities are essential to sustainable growth. That is why Microsoft invests not only in infrastructure, but also in the social and economic foundations that support it.   

Our commitment in action 

Across Ontario and Québec, we are continuing to expand partnerships that support: 

• Workforce training and economic inclusion, including digital skilling for underrepresented groups through NPower Canada 
• Donations to support environmental conservation, restoration, and climate resilience projects with Ducks Unlimited Canada 
• Digital access and community led innovation, including support for local community projects through the Microsoft community funds 

These investments help ensure that AI infrastructure contributes to the vitality of the communities where it is built.

Investing in skills and what comes next 

Infrastructure alone is not enough. The real opportunity comes when its benefits are widely shared. It is the foundation upon which others build: startups launching new ideas, researchers advancing discovery, educators preparing the next generation, and governments and communities solving real challenges. 

To fully realize the promise of AI, Canadians must have access to the skills, tools, and opportunities to participate in, and shape the AI economy. That means ensuring AI doesn’t remain concentrated in a few places or organizations, but instead diffuses across our economy and communities, empowering people in every sector to innovate, build, and lead. 

Our commitment in action 

Microsoft is announcing several new Canada specific actions to expand access to AI and digital skills: 

• Launching national AI skilling initiatives: Through Microsoft Elevate, we are launching a new National AI Skilling Grant with Digital Moment to expand AI Education Training, delivering free, bilingual AI workshops and classroom ready resources to 20,000 educators and students across the country. 

• Advancing Indigenous AI fluency: Microsoft Elevate is partnering with Ampere and the Pinnguaq Foundation to further support Indigenous AI Fluency and Workforce Readiness Hubs – a national network of 13 makerspaces supporting AI learning, data privacy, and workforce readiness for youth and communities, including integration supporting teachers and students in Nunavut’s K–12 and post-secondary education system. 

• Empowering the nonprofit sector: In Canada, we are launching Microsoft Elevate for Changemakers and AI for Nonprofits credential through a community-led approach in partnership with Canadian Centre for Nonprofit Digital Resilience (CCNDR) and Digital Moment. CCNDR anchors the work in nonprofit trust, sector insight, and national reach, while Digital Moment will lead with high quality training and delivery in both official languages. Together, this new credential will equip 5,000 nonprofit professionals and leaders across Canada with practical, responsible AI skills they can apply immediately in their work. 

Building the future, together 

AI infrastructure is most powerful when it is built with trust, transparency, and partnership. That is why our approach starts and ends with communities. We are committed to building AI infrastructure in Canada in a way that earns trust, supports local priorities, and strengthens long –term prosperity. As this work continues, we will keep listening, learning, and engaging, because building the future of AI means building it with communities, not just in them. 

 

 

The post Building AI infrastructure the Community-First way in Canada appeared first on Microsoft On the Issues.

As we welcome more than 1,500 nonprofit leaders from around the world to Microsoft’s Global Nonprofit Leaders Summit, we are reminded of the extraordinary work nonprofit organizations do every day to strengthen communities and expand opportunity. Today’s gathering comes at a pivotal moment, as nonprofits confront a new set of questions: How can AI help them serve their communities more effectively? And how do they build the skills and capacity to lead this change from within?

Major technological transitions rarely unfold evenly. As AI diffuses across economies and sectors, it creates new opportunities, but it also introduces significant disruption for workers, families, and communities. Nonprofits are uniquely positioned to drive meaningful change in today’s world. They are the organizations people turn to first to support people as they develop new skills, find new pathways to employment, and stay connected to the systems that sustain them.

To help them maximize their impact with greater scale and efficiency, today we are announcing Microsoft Elevate for Changemakers, a new initiative that provides nonprofit leaders with essential AI credentials, access to a strong peer community, and role-based capacity-building resources. This program is designed to empower those at the forefront of social challenges to confidently lead AI adoption in ways that reflect their missions and the communities they serve.

This new program is part of our broader Microsoft Elevate commitment to ensure people can thrive in the AI economy and reflects Microsoft’s 50-year legacy of supporting nonprofits. As an organization, we are proud to partner with nearly one million nonprofits and education systems globally, and in the next year alone we will deliver more than $5 billion in discounts, donations, and grants to help nonprofit organizations address community needs.

Backed by Microsoft’s pledge to ensure everyone has opportunity in the AI era, Microsoft Elevate for Changemakers helps ensure that those working closest to community challenges remain at the leading edge of AI-powered solutions.

The new Microsoft Elevate for Changemakers program includes: 

• AI for Nonprofits credential: The AI for Nonprofits credential is a professional certificate, developed with LinkedIn and NetHope, that gives participants a clear, structured learning path built around the real work happening across the nonprofit sector. Earners receive a LinkedIn professional certificate, providing formal recognition of their growing expertise and their commitment to responsible AI use in their organizations.
• Live and on-demand AI training to build capacity: Practical skills training built around real nonprofit work, not generic AI content repackaged for the sector. From Copilot fundamentals to change management to responsible AI governance, every module is designed to simplify workflows for nonprofits and help them do more with ease.
• A Changemaker Fellowship, a global program for nonprofit professionals at organizations with actionable AI projects ready to advance their missions. This fellowship provides the essential resources, investment, and expert guidance needed to turn AI ambition into lasting impact. Fellows will join a worldwide cohort, create and implement responsible AI adoption plans, develop critical technical and change management skills, and connect with a trusted network of nonprofit AI leaders—all with support from Microsoft and launch partners, including EY and Caribou. The Changemaker Fellowship is now open to nonprofits of all backgrounds.

Those ready to make a difference with AI can register their interest today at Aka.ms/MicrosoftElevateforChangemakers.

Transforming possibilities by empowering nonprofits

At its best, AI should expand human agency rather than replace it. The real opportunity is to give people more capacity to solve problems, build new ideas, and strengthen the communities around them.

Across the nonprofit sector, this is already taking shape in practical ways:

• Enriching staff time. Much of a typical nonprofit employee week does not directly contribute to the mission work. In fact, research finds that nearly half of nonprofit organizations still use manual data entry and spreadsheets for compliance documentation, meeting summaries, case notes, and other operations. AI reduces that burden in ways that are already real and measurable, giving people more of their week back for the work they came to do. ARCare, a healthcare provider in underserved communities across Arkansas, Kentucky, and Mississippi, is already seeing the benefits of its use of AI technology. With AI handling administrative tasks, staff spend less time on data collection and more time on patient care, and they estimate they have eliminated 6–8 hours a day of manual tasks.
• Delivering more impactful programs. AI gives nonprofits the ability to scale what works without losing what makes it work. Opportunity International is using AI to scale impact through a local language chatbot to provide farmers with instant agricultural guidance, overcoming literacy barriers and dramatically expanding reach. By making critical knowledge accessible, AI frees frontline teams to focus on relationships, mentoring, and the long-term change that traditional programs alone can’t achieve.

• Engaging supporters and funders more effectively. Raising funds, obtaining grants, and building donor relationships are often the most important strategic priorities—and challenges—for nonprofits that are facing growing demand for services at a time of economic uncertainty. AI doesn’t replace donor relationships. It gives the people managing those relationships more time and capacity to focus on what builds them. Head Start Homes found that as AI increased their organizational bandwidth, they could scale programs and attract new funding.

• Transforming operations. AI gives nonprofits the ability to innovate and optimize how they work, bringing greater security, sharper data, and more informed decision-making to every part of the organization. The result is less time spent managing complexity and more capacity directed toward results. The social housing organization, de Alliantie, is a good example. Using AI has allowed de Alliantie to boost efficiency while keeping a human-centered approach to housing support at the center of everything they do. With more than 3,000 calls coming in each week for housing support, using an AI chatbot allowed call center staff to help more people, because the goal was never efficiency for its own sake. It was to make sure the human benefit always comes first.

These real stories of AI empowering mission-driven organizations are made possible by dedicated individuals within nonprofits who are stepping forward to lead transformative change, often without formal recognition or an official mandate. It is their willingness to embrace new technology, learn new skills, and champion responsible AI adoption that is propelling the sector forward.

The work ahead

The millions of global changemakers, volunteers, and leaders across the nonprofit sector are redefining what is possible, ensuring that AI serves as a tool to amplify human capacity and purpose, rather than replace it. Their commitment and leadership are the driving force behind a future where nonprofits harness AI to deliver greater impact, deepen relationships, and strengthen communities.

The path forward will be shaped by the strength and leadership of the nonprofit sector. Every day, these organizations demonstrate what it means to stay close to communities, respond in moments of change, and help people navigate uncertainty with trust and consistency.

That is what makes this moment different. As AI becomes more widely adopted, the organizations best positioned to ensure its benefits are broadly shared are the ones already doing this work.

At Microsoft, we are building on a tradition of support for this sector that began five decades ago with our founder and continues today. Ours is a long-term commitment. Not just as a technology partner, but as part of a broader effort to help ensure the benefits of AI reach the communities nonprofits serve. We will continue investing in the capacity, tools, and partnerships that support this work and look forward to building what comes next together.

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On Tuesday, February 23rd, Microsoft Senior Director of Education and Workforce Policy Allyson Knox testified before the House Education & Workforce Subcommittee on Early Childhood, Elementary, and Secondary Education. To view the proceedings, visit the committee’s website.

STATEMENT OF ALLYSON KNOX

SENIOR DIRECTOR OF EDUCATION AND WORKFORCE POLICY

MICROSOFT CORPORATION

BEFORE THE

EDUCATION AND WORKFORCE COMMITTEE

SUBCOMMITTEE ON EARLY CHILDHOOD, ELEMENTARY, AND SECONDARY EDUCATION

UNITED STATES HOUSE OF REPRESENTATIVES

“BUILDING AN AI-READY AMERICA: TEACHING IN THE AI AGE”

TUESDAY, FEBRUARY 24, 2026

WASHINGTON, D.C.

Good afternoon and thank you, Chairman Kiley, Ranking Member Bonamici, Members of the Subcommittee for inviting me to testify today. My name is Allyson Knox. I am Senior Director of Education and Workforce Policy at Microsoft, and I am pleased to have this opportunity to discuss issues related to artificial intelligence and its impact on teachers.

Today, I will share insights we have gathered from teachers about their experiences, challenges, and needs as they integrate AI in education; outline the steps Microsoft and other organizations are taking to facilitate this transition; and recommend legislative approaches to help policymakers strengthen these efforts. These legislative approaches include supporting professional development for teachers; encouraging public-private partnerships; promoting AI literacy; providing guidance on responsible AI use; and supporting innovation.

I would like to begin by quoting from Microsoft’s vice-chair and president, Brad Smith, in his recent foreword to Degrees of Change: What AI Means for Education and the Next Generation[i]:

“Generative AI has become the fastest-spreading technology in human history, adopted at a pace that even the most seasoned technologists could scarcely imagine. This speed is breathtaking, but it also compels us to pause and ask, “Are we ready for what comes next?” AI’s promise is extraordinary. It can help solve problems that have challenged humanity for decades—improving health outcomes, advancing education, and unlocking new opportunities for economic growth. But, like every transformative technology before it, AI brings new questions and new responsibilities.”

This thought-provoking quote is apt for today’s conversation on how AI is impacting teachers. The speed of AI adoption in our nation’s schools and classrooms is indeed breathtaking. Just three years ago, AI had barely made a mark in education. However, our 2025 Study on AI in Education found that 80% of U.S. K-12 teachers have used AI in their roles or for school-related purposes at least once or twice and one-fifth report daily use of AI. Additionally, 58% of K-12 teachers think AI usage at their school/district will increase in the next year.[ii]

What we are hearing from teachers on the impact of AI:

The breadth of adoption has been profound. We have heard directly from teachers who are using AI to streamline lesson planning, curriculum development, and personalize student learning in ways that were unimaginable a few years ago.[iii] AI is also reducing the time it takes to carry out administrative tasks, allowing more time for teachers to focus on their students.

Despite these benefits, we know teachers face challenges when it comes to AI in the classroom. We found roughly one in three teachers lack confidence in using AI effectively and responsibly. Many teachers also express concerns about how AI can exacerbate cheating and are worried about issues such as data privacy and student safety.

Teachers know AI is here to stay, and based upon countless surveys, forums, and focus groups, teachers are ready to tackle these challenges and ask for support in three main areas:

1. AI literacy – Teachers want the skills, knowledge, and support to build AI literacy and critical thinking in their students;
2. AI guardrails – Teachers want students to use AI responsibly and safely; and
3. AI tools – Teachers want classroom-ready AI tools and opportunities to provide feedback that improve them.

I’m excited to share a few ways Microsoft, along with many of our partners, are committed to providing teachers with the support they are requesting.

1.AI literacy – Teachers want the skills, knowledge, and support to build AI literacy and critical thinking in their students

At the core of this support is listening to and learning from teachers and understanding what they want and need to become AI literate themselves and teach AI literacy to their students. These conversations have resulted in exciting initiatives, including the recent launch of the Microsoft Elevate for teachers program, part of the company’s broader commitment[iii] to help schools and educators build skills, expand opportunities, and ensure everyone benefits from AI.

Microsoft Elevate for Educators

The Microsoft Elevate for Educators program equips educators and school leaders with access to one of the world’s largest and most connected peer educator networks and offers free professional development resources. It will provide free access to a new industry-recognized credential for educators, developed in partnership with one of the leading national nonprofit focused on technology and innovation (ISTE+ASCD).[vi] This partnership is aligned to the AI Literacy Framework, which is intended to help educators gain confidence and expertise in integrating AI into their teaching and learning. As part of this work, we also support ISTE+ASCD in advancing AI in teacher preparation programs.

National Academy for AI Instruction

Along with OpenAI and Anthropic, we are supporting the National Academy for AI Instruction, through a partnership with the American Federation of Teachers and the United Federation of Teachers. The Academy describes itself as a national training hub designed by educators – shaping the future of AI in public education, grounded in safety and people-first technology, and improving student learning. From everything we have heard from teachers, this is exactly the type of support they need to promote AI literacy. The Academy also focuses on building critical thinking skills for students and educators.

Rob Weil, who heads up the Academy, recently shared an update on their work with me. He noted through direct engagement with teachers, they listen to what the primary concerns teachers have around using AI in the classroom are, and then work with them to design trainings that are directly responsive to their concerns and meet them where they are – including using whatever technology they are already using in their classroom.

Their goal is to train 400,000 teachers over the next 5 years. The Academy is centered around a “train the trainer” model, building capacity to provide AI literacy to teachers at scale – providing the potential of millions of teachers to benefit from this initiative. Weil noted that interest and participation in the Academy has been taking off, largely due to word of mouth. This month, 1,000 teachers showed up for a virtual session, and another in-person session was overprescribed had to turn away a hundred interested teachers.

Why the interest? Teachers want to learn from their peers and trusted partners; they also want to ensure they are using AI effectively and safely. Weil explained that one of the most popular aspects of the training is centered around the Academy’s Commonsense Guardrails for Using Advanced Technology in Schools,[v] which helps empower teachers to address the challenges they are facing in implementing AI. Some teachers describe AI as the wild-wild west, and this guide has helped provide a roadmap for understanding how to navigate bringing this technology into the classroom.

The trainings also provide real-world, hands-on experiences with using technology which teachers themselves are bringing to the table. At the trainings, teachers are asked what they could use the most help with and then have time to experiment with different tools to do things like start a draft of a lesson plan or an outline for a rubric – allowing them more time and flexibility to incorporate their expertise. In addition, the Academy creates opportunities for educators to influence the development of AI for schools.

Support for Special Education Teachers

We also recognize the potential that AI holds to support students with disabilities – and the need to ensure special education teachers have the support and resources to fully unlock this technology.

Recently, we launched a course to support educators in exploring how Microsoft AI tools can be thoughtfully used in special education environments to reduce administrative demands, strengthen accessibility, and support clear communication with families. Throughout the learning path, responsible use of AI, privacy, and transparency are emphasized so educators can determine when and how AI fits into their practice in ways that align with student needs and professional values.

After our engagements, we tailored our trainings to special education teachers by incorporating their direct feedback. Key topics included privacy with sensitive medical information and using AI to assist parents and caregivers in IEP meetings. We emphasized clear communication, parental inclusion, and ensuring parents understand the meeting’s goals and how best to support their children.

Finally, special education involves a collaborative team beyond just teachers, and we’ve revised our approach to address the needs of occupational therapists, physical therapists, and all other members involved in special education.

Support for Teachers in Rural America

We have found there’s a significant gap in daily AI usage by urban teachers versus their rural and suburban counterparts (39% vs. 24%).[iv] This gap underscores why ensuring AI tools, resources, and professional development are attuned to the needs of rural teachers is critical.

For the last five years, we’ve been working with the National Future Farmers of America (FFA) and agricultural science teachers to develop FarmBeats for Students and ensure it is responsive to agricultural science teachers’ needs. We engaged in an iterative process with them – collaboratively designing and building curriculum and training with agricultural science teachers from the very beginning of development.

FarmBeats for Students brings AI to agricultural education through a hands-on educational program that brings precision agriculture directly into the classroom. The program consists of an affordable hardware kit and a free curriculum aligned with rigorous educational standards. Activities give students direct experience with topics like digital sensors, data analysis, and AI.

We brought FarmBeats for Students to the National FFA convention and held a series of workshops with teachers across the country. They experimented with the kits and provided input to ensure this technology was directly responsive to what they wanted to see in the classroom.

In addition to our partnership with the National FFA, Microsoft helps meet the needs of rural teachers by deploying the online content referenced above through Elevate, as well as supporting community-based organizations that help facilitate activities and events which promote AI literacy in rural communities.

AI Literacy Frameworks, Standards, and Guidance

Teachers want frameworks that help them integrate AI into their classrooms. We are pleased there is bipartisan interest in establishing strong frameworks around AI and education, especially highlighting the need for widespread AI literacy. Microsoft has provided support, guidance, and input to organizations and initiatives such as Code.org and TeachAI who work to develop and promote frameworks, guidance, and standards.

Microsoft encourages state and local policymakers to review and leverage these resources as they incorporate AI in education:

• The TeachAI Foundational Policies[vii]: This resource, endorsed by dozens of policy organizations and associations, provides practical guidance for national, state, and local leaders to harness AI’s benefits in teaching and learning while mitigating risks. The policies focus on five priorities—fostering leadership, promoting AI literacy, providing clear guidance, building educator capacity, and supporting responsible innovation—to ensure AI strengthens education systems and prepares learners for an AI‑enabled workforce.
• The TeachAI AI Guidance for Schools Toolkit[viii]: The Toolkit helps education authorities, school leaders, and educators develop clear, responsible guidance for using AI in K–12 education, balancing potential benefits with risks such as privacy, bias, and academic integrity. It provides a practical framework, principles, sample policies, and communication templates to support safe and human‑centered AI adoption across school systems. The Toolkit has been used by the majority of states in constructing guidance for schools.
• The AI Literacy Framework[ix]: The AI Literacy Framework defines the knowledge, skills, and attitudes students and educators need to understand, use, and critically evaluate AI in education. It is organized around four core domains—Engaging with AI, Creating with AI, Managing AI, and Designing AI—and emphasizes critical thinking, ethics, and human judgment alongside technical understanding. It also emphasizes the foundational computer science concepts that prepare students to not just use AI but understand how AI works and its societal impacts. The framework is designed to be interdisciplinary, practical, and durable, helping schools integrate AI literacy into curriculum, professional learning, and policy in age‑appropriate ways.

2.AI guardrails – Teachers want students to use AI responsibly and safely

We have heard from teachers that one of the greatest hesitations they have with AI is around safety for students. This includes ensuring AI tools used in the classroom protect student privacy, don’t collect their information, and are safe from a mental health perspective.

Some of the strategies teachers use to promote safety are a significant focus in the professional development referenced earlier. In addition, the frameworks include key components to help teachers understand responsible AI use.

Microsoft takes our responsibility as a developer and deployer of AI technology very seriously. Paramount to deploying this technology in classrooms is ensuring it is responsible. Microsoft has identified six principles that we believe should guide AI development and use.

• Fairness: AI systems should treat all people fairly.
• Reliability and Safety: AI systems should perform reliably and safely.
• Privacy and Security: AI systems should be secure and respect privacy.
• Inclusiveness: AI systems should empower everyone and engage all people.
• Transparency: AI systems should be understandable.
• Accountability: People should be accountable for AI systems.

These principles are the foundation for other tools and resources we share with teachers to provide guidelines for them to deploy AI in the classroom.

As another example of our commitment to safety, earlier this month, on Safer Internet Day, we launched our new Microsoft Education Security Toolkit,[x] which provides educators and IT teams with practical guidance tailored to the realities of modern education.

3. AI tools – Teachers want classroom-ready AI tools and opportunities to provide feedback that improve them

Teachers often lack the right AI tools tailored to their needs for boosting student achievement. It’s essential to develop AI solutions based on teacher input rather than just delivering generic options. Microsoft strives to meet this responsibility by designing tools and partnerships that address educators’ needs. We believe this approach creates a critical feedback loop that will allow us to constantly evolve our tools to maximize their benefit in the classroom over time.

In fact, at Microsoft, our engineering teams collaborate closely with educators and students to advance the development of AI tools for classroom use. We partner with teacher organizations and directly engage with the disability community to better understand instructional requirements and design technology that enhance student learning outcomes.  Some examples include:

Reading Progress

One of the tools we offer to teachers is called Reading Progress, which helps teachers analyze students’ fluency and generates reading passages and comprehension questions.

From the beginning of development, we worked with individual teachers through our Educator Insiders program and with entire schools or districts through our Technology Adoption Preview, where educators test prototypes of our products and provide feedback.

For example, teachers asked for a tool that could generate tailored passages to meet the needs of their students. We incorporated that feedback and now, teachers can get as specific as saying they want a passage generated about sports that is for a third-grade reading level and includes specific words their class is learning.

Teachers also told us they wanted reading comprehension questions generated faster and better. With AI, it’s easy to do this in a high-quality way.

Teachers report increased comprehension, higher reading fluency, and higher scores, especially for struggling or reluctant readers.

Teach for America (TFA)

Microsoft has been a proud supporter of TFA’s efforts to improve the education system and expand opportunities for children across the U.S. It has been great to see all of the ways in which TFA has worked to equip their teachers with AI fluency in order to help them integrate this technology into the classroom.

TFA recently completed a cloud migration to Microsoft Azure, unlocking countless avenues to improve program design and delivery, direct the most possible funds toward its mission to ensure all kids have access to an excellent education, and evolve to offer the best learning options inside and outside the classroom.

Where do we go from here

What is both exciting and daunting about AI is that while we can take lessons learned from previous technological transformations in the classroom, much of the book has not been written on AI adoption. Meaning tech companies, teachers, government, and other stakeholders have the opportunity to shape where AI goes in education and beyond.

I want to conclude my remarks today with policy recommendations for the Committee to consider:

• Support professional development for teachers to effectively teach about AI and responsibly integrate AI tools in the classroom.
  • At the Federal level, this means providing priorities for competitive grant programs, such as those recently proposed by the U.S. Department of Education.
• Encourage public-private partnerships.
  • Incentivize and prioritize Federal funds and grants that support partnerships between technology companies and educational programs, including apprenticeship and credentialed organizations, to develop up to-date AI curriculum.
• Promote AI literacy across the U.S.
  • Integrate AI skills and concepts, including their foundational principles, social impacts, and ethical concerns, into existing curriculum and instruction.
• Provide guidance.
  • Equip schools with guidance on the safe, effective, and responsible use of AI, including considerations related to student privacy, data security, accessibility, transparency, and appropriate human oversight.
• Invest in innovation.
  • Support research and evaluation to better understand the impacts of AI in education, including its effects on teaching and learning and student outcomes, and to identify effective, scalable practices that mitigate the digital divide.

 

[i] Smith, Brad. “Foreword.” Degrees of Change: What AI Means for Education and the Next Generation, by Juan M. Lavista Ferres, John Wiley & Sons, 2026.
[ii] See Microsoft 2025 AI in Education Survey Details, August 2025
[iii] See Microsoft 2025 AI in Education Survey Details, August 2025
[iv] See Microsoft Elevate: Putting people first, July 2025
[v] See Commonsense Guardrails for Using Advanced Technology in Schools, March 2025
[vi] See Microsoft 2025 AI in Education Survey Details, August 2025
[vii] See TeachAI Foundational Policies
[viii] See TeachAI AI Guidance for Schools Toolkit
[ix] See AI Literacy Framework
[x] See Microsoft Education Security Toolkit, February 2026

[1] ISTE (International Society for Technology in Education) + ASCD (Association for Supervision and Curriculum Development)

 

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Ahead of Mobile World Congress, where global leaders, governments, and industry convene at the world’s largest connectivity event, Microsoft is marking a major milestone in our efforts to expand digital access worldwide. In 2022, we made a bold commitment to expand internet access to 250 million people by the end of 2025. Today, we are proud to share that we have met and exceeded that goal, extending connectivity coverage to over 299 million people worldwide, including more than 124 million across Africa.

This milestone represents more than a number. It reflects more than a decade of sustained collaboration with governments, nonprofits, local connectivity providers, and development partners around the world. Together, we have worked to reach communities where access has historically been limited, building pathways to education, healthcare, economic opportunity, and digital participation.

Reaching this milestone is also a moment of reflection and renewal. Building on years of progress, Microsoft is evolving its approach to digital access to focus not only on coverage, but on adoption, enablement, and long-term participation in the AI economy.

As part of this next chapter, we are announcing a new collaboration with Starlink. This collaboration expands the set of tools available to help deliver digital access in rural, agricultural, and hard-to-reach communities. Combined with local delivery partners and community institutions, it strengthens the foundation for AI-ready communities around the world.

Why digital access matters in the AI era

Despite continued progress, 2.2 billion people globally remain offline, and many more face barriers related to affordability, reliability, or access to relevant digital services. These gaps already limit opportunity and risk widening as AI becomes more central to how economies grow and societies function.

At Mobile World Congress 2024, Microsoft Vice Chair and President Brad Smith shared our AI Access Principles, underscoring that electricity and connectivity are essential foundations for an inclusive AI economy. Since then, the pace of change has only accelerated. In fact, Microsoft’s 2025 AI Diffusion Report shows that AI is being adopted faster than any general-purpose technology in history, yet adoption remains uneven. As the data illustrates, adoption in the Global North is accelerating faster than in the Global South. Differences in infrastructure, access to tools, and digital readiness all contribute to a growing divide between higher-income and lower-income economies.

This graphic from the 2025 AI Diffusion Report reinforces a clear insight: access to AI alone is not enough. For communities to participate meaningfully in the digital and AI era, connectivity must be paired with reliable energy, affordable devices, digital skills, and technologies designed for real-world use. Where these conditions exist, adoption follows. In Zambia, for example, country-wide generative AI adoption is 12 percent, but among those with internet access, it rises to 34 percent.

Deepening Microsoft’s approach to digital access

Building on what we have learned, Microsoft is advancing a more holistic digital access model that recognizes connectivity as only one part of a broader system. In practice, this means collaboration to deliver not only internet access but also more reliable energy infrastructure, access to water where relevant, devices, digital skills, and cloud and AI tools, all designed and deployed for the communities they serve. By working across organizations and governments to address these foundational needs in parallel, this approach helps ensure that digital access is usable, durable, and capable of supporting real-world outcomes.

A central focus of this work is community-based access models that are financially sustainable, scalable, and aligned with national development priorities. These models bring together local institutions such as schools, health facilities, cooperatives, and community hubs and are implemented in partnership with governments, businesses, nonprofits, and development finance organizations. By integrating infrastructure, enablement, and financing from the outset, these holistic programs can help unlock long-term investment, support responsible growth, and enable communities to fully participate in the digital and AI economy.

Digital access directly complements Microsoft’s Community First AI Infrastructure approach by providing the foundation that enables AI to be adopted, used, and trusted by communities everywhere.

Partnering to deliver impact at scale

Progress at this scale is only possible through strong partnerships rooted in local delivery, community trust, and long-term sustainability. Microsoft’s work to extend connectivity to more than 299 million people has been built alongside partners who understand the realities of last-mile deployment and digital adoption.

In Africa, Microsoft works with partners such as Cassava Technologies to expand regional digital infrastructure and drive high-quality internet access across South Africa, Malawi, Kenya, and Zambia. Collaborations with local providers like Tizeti deliver affordable, reliable connectivity through solar-powered Wi-Fi networks across Nigeria and Ghana.

In Latin America, Microsoft’s partnership with Anditel focuses on expanding internet and energy access for rural and agrarian communities in Colombia through locally led models aligned with national priorities. In India, Microsoft works with AirJaldi to pair affordable connectivity with digital skills training and practical pathways for use, helping communities move beyond basic access toward meaningful adoption.

These partnerships made reaching the 250 million milestone possible. They also reflect a principle that continues to guide our work. Lasting digital access is built with communities, not for them.

Expanding the portfolio: Collaboration with Starlink

Building on this foundation, Microsoft continues to expand and diversify its portfolio to reach communities where traditional infrastructure alone cannot meet demand.

Through our collaboration with Starlink, Microsoft is combining low-Earth orbit satellite connectivity with community-based deployment models and local ecosystem partnerships. This is intended to expand the set of tools available to deliver digital access while remaining firmly embedded in a holistic, partnership-driven approach.

Kenya offers an early example of this model in practice. Working with Starlink and local internet service provider Mawingu Networks, Microsoft is supporting connectivity for 450 community hubs across rural and underserved regions, including farmer cooperatives, aggregation centers, and digital hubs. These deployments combine satellite connectivity with digital skills, tools, and ecosystem coordination to support agricultural productivity, access to markets, and adoption of digital and AI-enabled services.

Beyond 250 million: Building AI-ready communities

Surpassing the 250 million connectivity milestone is a moment to celebrate. It is also a starting point for what comes next.

The next chapter of Microsoft’s digital access work is planned to focus on ensuring that access translates into adoption, use, and long-term opportunity. By continuing to partner with governments, development finance institutions, nonprofits, and private-sector partners, and by expanding into energy access, financing mechanisms, and community-first AI solutions, Microsoft is working to ensure that everyone, everywhere, can participate in the digital and AI economy.

 

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Microsoft announces at the India AI Impact Summit it is on pace to invest USD $50 billion by the end of the decade to help bring AI to countries across the Global South  

Artificial intelligence is diffusing at an impressive speed, but its adoption around the world remains profoundly uneven. As Microsoft’s latest AI Diffusion Report shows, AI usage in the Global North is roughly twice that of the Global South. And this divide continues to widen. This disparity impacts not only national and regional economic growth, but whether AI can deliver on its broader promise of expanding opportunity and prosperity around the world.

The India AI Impact Summit rightly has placed this challenge at the center of its agenda. For more than a century, unequal access to electricity exacerbated a growing economic gap between the Global North and South. Unless we act with urgency, a growing AI divide will perpetuate this disparity in the century ahead.

Solutions will not come easily. The needs are multifaceted, and will require substantial investments and hard work by governments, the private sector, and nonprofit organizations. But the opportunity is clear. If AI is deployed broadly and used well by a young and growing population, it offers a real prospect for catch-up economic growth for the Global South. It might even provide the biggest such opportunity of the 21^st century.

As a company, we are committed to playing an ambitious and constructive role in supporting this opportunity. This week in Delhi, we’re sharing that Microsoft is on pace to invest $50 billion by the end of the decade to help bring AI to countries across the Global South. This is based on a five-part program to drive AI impact, consisting of the following:

• Building the infrastructure needed for AI diffusion
• Empowering people through technology and skills for schools and nonprofits
• Strengthening multilingual and multicultural AI capabilities
• Enabling local AI innovations that address community needs
• Measuring AI diffusion to guide future AI policies and investments

One thing that is clear this week at the summit in India is that success will require many deep partnerships. These must span borders and bring people and organizations together across the public, private, and nonprofit sectors.

1. Building the infrastructure needed for AI diffusion

Infrastructure is a prerequisite for AI diffusion, requiring reliable electricity, connectivity, and compute capacity. To help address infrastructure gaps and support the growing needs of the Global South, Microsoft has steadily increased its investments in AI-enabling infrastructure across these regions. In our last fiscal year alone, Microsoft invested more than  $8 billion in datacenter infrastructure serving the Global South. This includes new infrastructure in India, Mexico, and countries in Africa, South America, Southeast Asia, and the Middle East.

We’re coupling our investments in datacenters with an ambitious effort to help close the Global South’s connectivity divide. We’ve been pursuing aggressively a global goal to extend internet access to 250 million people in unserved and underserved communities in the Global South, including 100 million people in Africa.

As we announced in November, we’ve already reached 117 million people across Africa through partnerships with organizations such as Cassava Technologies, Mawingu, and others that are building last‑mile networks across rural and urban communities alike. We’re closing in on our global goal of reaching 250 million people and will share an update on that progress soon.

We’re investing in AI infrastructure with sensitivity to digital sovereignty needs. We recognize that in a fragmented world, we must offer customers attractive choices for the use of our offerings. This includes sovereign controls in the public cloud, private sovereign offerings, and close collaboration with national partners.

We pursue all this with commitments to protect cybersecurity, privacy, and resilience. In the age of AI, we ensure that our customers’ AI-based innovations and intellectual property remain in their hands and under their control, rather than being transferred to AI providers.

Critically, we balance our focus on national sovereignty with our efforts to support digital trust and stability across borders. The Global South requires enormous investments to fund infrastructure for datacenters, connectivity, and electricity. It is difficult to imagine meeting all these needs without foreign direct investment, including from international technology firms.

This need is part of what informed our announcement last week at the Munich Security Conference of the new Trusted Tech Alliance. This new partnership brings together 16 leading technology companies from 11 countries and four continents. We’ve agreed together that we will adhere to five core principles designed to ensure trust in technology. Ultimately, we believe the Global South—as well as the rest of the world—needs both to protect its digital sovereignty and benefit from new investments and the best digital innovations the world has to offer.

2. Empowering people through technology and skills for schools and nonprofits

Ultimately, datacenters, connectivity, and electricity provide only part of the digital infrastructure a nation needs. History shows that the ability to provide access to technology and technology skills are equally important for economic development.

As a company, we’re focused on this in multiple ways. One critical aspect of our work is based on programs to provide cloud, AI, and other digital technologies to schools and nonprofits across the Global South. Another is our work to advance broad access to AI skills. In our last fiscal year, Microsoft invested more than $2 billion in these programs in the Global South. This includes direct financial grants, technology donations, skilling programs, and below-market product discounts.

AI skills are foundational to ensuring that AI expands opportunity and enables people to pursue more impactful real-world applications. With the launch of Microsoft Elevate in July, we committed to helping 20 million people in and beyond the Global South earn in-demand AI skilling credentials by 2028. After training 5.6 million people across India in 2025, we advanced this work by setting a goal last December to equip 20 million people in India with essential AI skills by 2030.

As part of that commitment, today we are announcing the launch of Elevate for Educators in India to strengthen the capacity of two million teachers across more than 200,000 schools, vocational institutes, and higher education settings. Our goal is to help the country’s teaching workforce lead confidently in an AI‑driven future. The program will be delivered in partnership with India’s national education and workforce training authorities, expanding equitable AI opportunities for eight million students.

Through Microsoft Elevate, we’re also working to introduce new educator credentials and a global professional learning community that enables teachers to share best practices with peers worldwide. This effort will involve large-scale capacity building initiatives, including AI Ambassadors, Educator Academies, AI Productivity Labs, and Centers of Excellence. It will equip 25,000 institutions with inclusive AI infrastructure while integrating AI learning pathways into major government platforms.

3. Strengthening multilingual and multicultural AI capabilities

Language is another major barrier to AI diffusion across the Global South, particularly in regions where digitally underrepresented languages prevail and access to essential services depends on local-language communication. For billions of people worldwide, AI systems perform less consistently in the languages they rely on most than in English.

That’s why we’re announcing this week new steps to increase our investments across the AI lifecycle, from data and models to evaluation and deployment, to strengthen multilingual and multicultural capabilities and support more inclusive AI systems that will better serve the Global South.

First, we’re investing upstream in language data and model capability. This includes support for LINGUA Africa, which builds on what we learned through LINGUA Europe: that investing in language data and model capability in partnership with local communities can materially improve AI performance for underrepresented languages.

Through LINGUA Africa—a $5.5 million open call led by the Masakhane African Languages Hub, Microsoft’s AI for Good Lab, and the Gates Foundation, with additional support from the UK government—we are prioritizing open, responsibly sourced data across text, speech, and vision as well as use-case-driven AI model development. By enabling African languages in high-impact sectors like education, food security, health, and government services, LINGUA Africa aims to ensure AI advances translate into tangible improvements in people’s daily lives.

Second, we’re advancing multilingual and multicultural evaluation tools. We’re helping expand the MLCommons AILuminate benchmark to include major Indic and Asian languages, enabling more reliable measurement of AI safety and security beyond English.

Today, even when automated evaluation tools expand language coverage, they too often rely on machine translation or English-first model behavior, with predictable failures when local expressions shift meaning. Partnering with academic and government institutions in India, Japan, Korea, and Singapore, and with industry, Microsoft is co-leading AILuminate’s multilingual, multicultural, and multimodal expansion that builds from the ground up. With a pilot dataset of 7,000 high-quality text-and-image prompts for Hindi, Tamil, Malay, Japanese, and Korean, we’re developing tools that reflect how risks manifest in local linguistic and cultural contexts, not just how they appear after translation.

Microsoft Research is also advancing Samiksha, a community-centered method for evaluating AI behavior in real-world contexts, in collaboration with Karya and The Collective Intelligence Project in India. Samiksha encodes local language use, culturally specific communication norms, and locally relevant use cases directly into core testing artifacts by surfacing failure modes that English-first evaluations routinely miss.

Finally, we’re working to scale content provenance for linguistic diversity. For trusted AI deployment, the ecosystem benefits from tools to identify the provenance of digital content like images, audio, or video, distinguishing whether it’s AI-generated. With partners in the Coalition for Content Provenance and Authenticity (C2PA), Microsoft is helping extend content provenance standards beyond an English-ready baseline. This includes forthcoming support for multiple Indic languages across metadata, specifications, and UX guidance, alongside efforts to support mobile-first deployment. With these investments, hundreds of millions more people in India will be better equipped to identify synthetic media in their primary language.

4. Enabling local AI innovations that address community needs

As India’s guiding sutras for the AI Impact Summit recognize, AI must be applied to address pressing challenges in collaboration with people and organizations in the Global South. Microsoft’s increasing investments prioritize locally defined problems, locally grounded expertise, and real-world impact. Our goal is straightforward: to ensure that AI solutions are not only technically sound, but socially relevant and sustainable.

Today, Microsoft is announcing a new AI initiative to strengthen food security across Sub-Saharan Africa, starting in Kenya and designed to scale across the region. Across Global South communities, food security and sustainable agriculture are critical to resilience and progress. In collaboration with NASA Harvest, the government of Kenya, the East Africa Grain Council, UNDP AI Hub for Sustainable Development, and FAO, our AI for Good Lab will use AI on top of satellite data to provide critical, timely food security insights. This builds on what we’ve learned in helping to address rice farming challenges in India, where severe groundwater depletion prompted 150,000 farmers in Punjab to adopt water-saving methods. In collaboration with The Nature Conservancy, Microsoft’s AI for Good Lab developed a classification system with satellite imagery to empower policymakers to track adoption of sustainable rice farming practices, target interventions, and measure water management impacts at scale.

Through Project Gecko, Microsoft Research is also co-designing AI technologies with local communities in East Africa and South Asia to support agriculture. This work includes the Paza family of automatic speech recognition models that can operate on mobile devices across six Kenyan languages, multilingual Copilots, and a Multimodal Critical Thinking (MMCT) Agent that can reason over community-generated video, voice, and text. Microsoft also launched PazaBench—the first automatic speech recognition leaderboard, with initial coverage of 39 African languages—and developed two playbooks for multilingual and multicultural capabilities, Paza and Vibhasha. Likewise, our AI for Good Lab developed a reproducible pipeline for adapting open-weight large language models to low-resource languages, demonstrating measurable gains for languages such as Chichewa, Inuktitut, and Māori.

5. Measuring AI diffusion to guide future AI policies and investments

Finally, accelerating diffusion requires a firm understanding of where AI is being used, how it is being adopted, and where gaps persist. Building on our AI Diffusion Reports and Microsoft GitHub’s long track record of contributing to the OECD AI Policy Observatory, the WIPO Global Innovation Index, and other cross‑country analyses, we’re increasing our investments in research and data sharing to track AI diffusion.

We’re advancing new methods for sharing AI adoption metrics. For example, based on models used in public code repositories hosted on Microsoft GitHub and privacy-preserving aggregated usage signals from Azure Foundry, we’re scaling this work through contributions to the forthcoming Global AI Adoption Index developed by the World Bank.

Signals from the global developer community that builds, adapts, and deploys AI-enabled software round out adoption research. At 24 million, the Indian developer community is the second largest national community on GitHub, where developers learn about and collaborate with the world on AI. The Indian community is also the fastest growing among the top 30 largest economies, with growth at more than 26 percent each year since 2020 and a recent surge of over 36 percent in annual growth as of Q4 2025. Indian developers rank second globally in open-source contributions, second in GitHub Education users, and second in contributions to public generative AI projects, with readiness to use tools like GitHub Copilot across academic, enterprise, and public interest settings enabling AI diffusion.

Insights from this evidence base help inform investments in infrastructure, language capabilities, skilling, or beyond, supporting more targeted and effective interventions to expand AI’s benefits. They also create a common empirical baseline to track progress over time—so AI diffusion becomes something we can measure and shape, not just observe.

Sustaining impact at scale through coordinated global action

For AI to diffuse broadly and deliver meaningful impact across regions, several conditions matter. As a company, we are focused on the need for accessible AI infrastructure, systems that work reliably in real-world contexts, and technologies that can be applied toward local challenges and opportunities. Microsoft is committed to working with partners to advance this work, including sharing data to track progress.

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As we mark Safer Internet Day 2026, we’re reflecting on a simple but enduring principle: safety must be designed into online services, not bolted on. Microsoft’s work in this space spans more than two decades—from technology solutions like PhotoDNA to our investments in responsible gaming, public-private partnerships, and empowering users through education. This foundation guides our approach as we help individuals and families navigate a rapidly evolving landscape shaped by new technologies and new risks and as we innovate with next-generation AI offerings. At a moment when 91% of people tell us they worry about harms introduced by AI, our commitment to responsible innovation has never been more important—especially for our youngest users.

Read on for more about our longstanding efforts to create a safer digital environment, plus key findings from our Global Online Safety Survey and new examples of our work to empower families and communities through tools, research, and educational resources—including the latest release in Minecraft Education’s CyberSafe series.  

Ten years of safety research 

2026 marks the tenth year of our annual Global Online Safety Survey research. For a decade, we have invested in surveying teens and adults around the world about their experiences and perceptions of life online—aiming to provide fresh insights to support our collective work. That’s 130,000+ interviews across 37 countries, with the results available on our website. Ten years later, respondents tell us that they feel more connected and more productive, but less safe online.  

This year’s Global Online Safety Survey also highlights the complexity of the digital environment young people now inhabit. Teens’ exposure to risk rose again, with hate speech (35%), scams (29%), and cyberbullying (23%) among the most commonly experienced harms. At the same time, teens demonstrated striking resilience: 72% talked to someone after experiencing a risk, and reporting behavior increased for the second consecutive year. But worries about the misuse of AI continue, underscoring again why safety-by-design for AI is essential, not optional. Find the full results and country-level summaries here. 

Year on year, the research has told a story of evolving online safety risks and of the real-world impact. In 2026, the call to action is more urgent than ever—unless industry can deliver safe and age-appropriate experiences, young people risk losing access to technology. At Microsoft, spanning across our teams from Windows to Xbox, we have sought to continuously evolve our approach and to lead industry in advancing tailored and thoughtful safety solutions.   

Evolving to meet the moment 

Looking ahead, we know we need to continue to build strong guardrails to tackle acute risks and to leverage our experience while being informed by new research, new perspectives, and new technologies. The application process closed yesterday for our first AI Futures Youth Council, to be comprised of teens from across the US and EU. We’re looking forward to bringing those teens together soon for a first meeting to get their direct feedback on the role they want emerging technology to play in their lives and how we can best support their safety.  

Microsoft has partnered with Cyberlite on a second youth-centered initiative to understand how teens aged 13–17 are engaging with AI companions. Through codesign workshops with students in India and Singapore, we’re capturing young people’s own perspectives on the benefits, risks, and emotional dimensions of AI use—insights that will directly inform educational resources for teens, parents, and educators. Early findings from the first workshop in December 2025 show that young people value AI as a judgment free space while also recognizing the tradeoffs: privacy risks, overreliance, and erosion of critical thinking loom larger for them than bad advice.  

We’re also thinking about how we define safety in the next era of Windows, leveraging the Family Safety controls that have been integrated for over a decade. As many countries have raised the local age for digital consent, more parents will have the option to enable parental controls for teens up to the age of 18—leveraging these tools as part of a holistic approach to digital parenting. And to help parents set up and understand Family Safety, we’ve developed a short new guide. 

Safety is also about transparency, empowerment, and education. At Xbox, bringing the joy of gaming to everyone means remaining transparent about the many ways we innovate so players, parents, and caregivers can feel confident that Xbox continues to be a place for positive play. You can read more about our recently published Xbox Transparency Report and the tools and resources available to players on the Xbox Wire blog.  

We’re also excited to announce the latest release in Minecraft Education’s CyberSafe series: CyberSafe: Bad Connection? This series of immersive Minecraft worlds and educational resources is free and helps translate complex risks into fun learning experiences that meet young people in their favorite blocky world. Bad Connection?—the fifth in the series—reflects our commitment to evolving to meet new and challenging risks, with a focus on tackling serious risks related to online recruitment and radicalization. Learn more about how to access this new Minecraft world here.  

The CyberSafe series has reached more than 80 million downloads since 2022 through a partnership between Minecraft Education, Xbox, and Microsoft, helping a generation of young players build the agency, resilience, and digital citizenship they need to navigate an increasingly online world. As part of our commitment to ensure people have the knowledge and skills they need to benefit from technology and stay safe, Microsoft Elevate is empowering educators and students with tools and guidance to build safer, more responsible digital habits, recognizing that AI is transforming how people learn, work, and connect. Our commitment to helping young people access technology safely is also why we’ve partnered with organizations, like the National 4-H Council to prepare young people for an AI-powered world through AI literacy and digital safety curriculum and game-based learning with Minecraft Education. 

As we look ahead, our goal is clear: build technology that is safe by design, guided by evidence, and informed through partnership. The internet has changed profoundly over the past decade, and so too have the expectations of the people who use it. Safer Internet Day is a reminder that progress requires sustained collaboration across industry, civil society, researchers, and families.

—  

Global Online Safety Survey Methodology  

Microsoft has published annual research since 2016 that surveys how people of varying ages use and view online technology. This latest consumer-based report is based on a survey of nearly 15,000 teens (13–17) and adults that was conducted this past summer in 15 countries examining people’s attitudes and perceptions about online safety tools and interactions. Responses to online safety differ depending on the country. Full results can be accessed here.  

 

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Microsoft’s 5-point plan to partner with local communities across the United States

This year marks America’s 250^th year of independence. One of the trends that has repeatedly shaped the nation’s history is again in the news. As we’re experiencing at Microsoft, AI is the latest in a long line of new technologies to require large-scale infrastructure development.

Microsoft today is launching a new initiative to build what we call Community-First AI Infrastructure—a commitment to do this work differently than some others and to do it responsibly. This commits us to the concrete steps needed to be a good neighbor in the communities where we build, own, and operate our datacenters. It reflects our sense of civic responsibility as well as a broad and long-term view of what it will take to run a successful AI infrastructure business. In short, we will set a high bar.

As we launch this initiative, we think about it in the context of both the headlines of the day and the lessons from the past. Beginning in the 1770s, the country has advanced through successive eras built on huge infrastructure development based on canals, railroads, power plants, and the electrical grid, followed by the telephone system, highways, and airports. AI infrastructure has become the next chapter in this story.

Like major buildouts of the past, AI infrastructure is expensive and complex. Investments are advancing at a rapid pace. Today, these require large-scale spending by the private sector in land, construction, electricity, liquid cooling, high-bandwidth connectivity, and operations. This revives a longstanding question: how can our nation build transformative infrastructure in a way that strengthens, rather than strains, the local communities where it takes root?

Large AI investments are accelerating just as datacenter concerns are growing in local communities. The pattern is familiar. Whether it was canals, railroads, the electrical grid, or the interstate highway system, each era produced its own conflicts over who bore the burdens of progress. One enduring lesson is that successful infrastructure buildouts will only progress when communities feel that the gains outweigh the costs. Long-term success requires a commitment to address public needs, including by the private companies making these investments.

This must start by understanding local concerns. Residential electricity rates have recently risen in dozens of states, driven in part by several years of inflation, supply chain constraints, and long-overdue grid upgrades. Communities value new jobs and property tax revenue, but not if they come with higher power bills or tighter water supplies. Without addressing these issues directly, even supportive communities will question the role of datacenters in their backyard.

As a company, we believe in the many positive advances AI will bring to America’s future. From stronger economic growth to better medical advances and more affordable products, we believe AI will make a difference in everyday lives. But we also recognize that AI, like other fundamental technological shifts, will create new challenges as well. And we believe that tech companies like Microsoft have both a unique opportunity to help contribute to these advances and a heightened responsibility to address these challenges head-on.

This Community-First AI Infrastructure Initiative provides a framework for doing exactly that. It is anchored in five commitments, each a clear promise to the communities where we build, own, and operate Microsoft datacenters. These are:

1. We’ll pay our way to ensure our datacenters don’t increase your electricity prices.
2. We’ll minimize our water use and replenish more of your water than we use.
3. We’ll create jobs for your residents.
4. We’ll add to the tax base for your local hospitals, schools, parks, and libraries.
5. We’ll strengthen your community by investing in local AI training and nonprofits.

We describe our plans in detail below. We recognize that these will evolve and improve, based most importantly on what we learn from ongoing engagement with local communities across the country. We’ll also follow this plan for Community-First AI Infrastructure with similar plans for other countries, shaped to reflect their local needs and traditions.

But we are choosing the beginning of 2026 in Washington, DC to launch this effort in the United States. Our goal is to move quickly, partner with local communities, and bring these commitments to life in the first half of this year.

1.Electricity: We’ll pay our way to ensure our datacenters don’t increase your electricity prices.

There’s no denying that AI consumes large amounts of electricity. While advances in technology may someday change this, today, this is the reality.

The United States will retain its AI leadership role only if AI infrastructure can tap into a rapidly growing supply of electricity. The International Energy Agency (IEA) estimates that US datacenter electricity demand will more than triple by 2035, growing from 200 terawatt-hours to 640 terawatt-hours per year. This growth is taking place alongside rapid electrification of manufacturing and other sectors of the economy.

Our nation is addressing this reality at a demanding time. Even in the absence of datacenter construction, the United States is facing major electricity challenges. Much of the country’s electricity transmission infrastructure is more than 40 years old, and it’s under strain. Supply chain constraints on transformers and high-voltage equipment are delaying upgrades that would enable existing lines to deliver more electricity. New transmission can take more than 7 to 10 years due to permitting and siting delays. This creates a mismatch with growing electricity demand.

Some have suggested that AI will be so beneficial that the public should help pay for the added electricity the country needs for it. We believe in the benefits AI will create, but we disagree with this approach. Especially when tech companies are so profitable, we believe that it’s both unfair and politically unrealistic for our industry to ask the public to shoulder added electricity costs for AI. Instead, we believe the long-term success of AI infrastructure requires that tech companies pay their own way for the electricity costs they create.

This will require that we take four steps, and we’re committed to each:

First, we’ll ask utilities and public commissions to set our rates high enough to cover the electricity costs for our datacenters. This includes the costs of adding and using the electricity infrastructure needed for the datacenters we build, own, and operate. We will work closely with utility companies that set electricity prices and state commissions that approve these prices. Our goal is straightforward: to ensure that the electricity cost of serving our datacenters is not passed on to residential customers.

In some areas, communities are already starting to benefit from this approach. In Wyoming, for example, Microsoft and Black Hills Energy have developed an innovative utility partnership that ensures our datacenter growth strengthens—rather than burdens—the local community. And as part of our datacenter investment in Wisconsin, we are supporting a new rate structure that would charge “Very Large Customers,” including datacenters, the cost of the electricity required to serve them. This protects residents by preventing those costs from being passed on. But we recognize the need to ensure that datacenter communities benefit everywhere. We believe this approach can and should be a model for other states.

Second, we’ll collaborate early, closely, and transparently with local utilities to add electricity and the supporting infrastructure to the grid when needed for our datacenters. Addressing electricity costs is critical, but it is an incomplete solution for local communities unless we expand electricity supply. This expansion typically requires a complex effort that includes the expansion of electrical generation capacity and improvements in transmission and substation systems.

We’re committed to collaborating with local utilities. We will sit down and plan together, providing early transparency around our projected power requirements and contracting in advance for the electricity we will use. When our datacenter expansion requires improvements in transmission and substation capabilities, we will continue our existing practices by paying for these improvements.

This work will build on a spirit of partnership with utilities we’ve worked to foster across the country. For example, in the wholesale energy market that covers much of the Midwest called the Midcontinent Independent System Operator (MISO), we have contracted to add 7.9 GW of new electricity generation to the grid, which is more than double our current consumption.

Third, we’ll pursue innovation to make our datacenters more efficient. We are also using AI to reduce energy use and improve the performance of our software and hardware in the design and management of our datacenters. And we are collaborating closely with utilities to leverage tools like AI to improve planning, get more electricity from existing lines and equipment, improve system resilience and durability, and speed the development of new infrastructure, including nuclear energy technologies.

By embedding these innovations into datacenters and by collaborating directly with local utilities, communities gain access to systems that are more efficient, more reliable, and better prepared to support growth without increasing costs for households.

Fourth, we’ll advocate for the state and national public policies needed to support our neighboring communities with affordable, reliable, and sustainable power. Public policy plays an essential role in supporting communities with affordable, reliable, and sustainable access to electricity. In 2022, Microsoft established priorities for electricity policy advocacy: expanding clean electricity generation, modernizing the grid, and engaging local communities. Over the past three years, we have advocated across all three areas and engaged with government leaders at the federal, state, and local levels to do so. To date, however, progress has been uneven. This needs to change.

We will advocate for policies across these areas with an urgent focus on accelerating project permitting and interconnection of electricity projects, expediting the planning and expansion of the electricity grid, and designing new electricity rates for large electricity users.

2. Water: We’ll minimize our water use and replenish more of your water than we use.

Across the country, communities are asking pointed questions about how datacenters use water. These are arising in places already facing water stress, like Phoenix and Atlanta, as well as regions with more abundant supply, like Wisconsin. These concerns are often amplified by aging municipal water systems and infrastructure gaps. Local communities want and deserve reassurance that new AI infrastructure won’t strain their water resources.

Our commitment ensures that our presence will strengthen local water systems rather than burden them. We’ll do this by reducing the amount of water we use and by investing in local water systems and water replenishment projects.

First, we’re committed to reducing the amount of water our datacenters use. The chips that power datacenters produce heat. To manage that heat, datacenters historically relied upon evaporative cooling systems that drew on large volumes of water for cooling in hot weather. As AI workloads have increased, the demand for cooling has increased. The GPU chips that power AI workloads run at very high temperatures; without proper cooling, these chips would burn out within minutes.

The good news is that the tech sector has invested in new innovations to address these cooling needs. Now is the time when we need to step up, use these new technologies, and take added steps to address water use concerns.

Across our entire owned fleet of datacenters, we are committed as a company to a 40 percent improvement in datacenter water-use intensity by 2030. We are optimizing water usage for cooling, improving our ability to balance between water-based cooling and air cooling based on environmental conditions. We have also launched a new AI datacenter design that uses a closed-loop system. By constantly recirculating a cooling liquid, we can dramatically cut our water usage. In this next-generation design, already deployed in locations such as Wisconsin and Georgia, potable water is no longer needed for cooling, reducing pressure on local freshwater systems.

For communities where water infrastructure constraints pose challenges, we will collaborate with local utilities to understand whether current systems can support the additional demand associated with datacenter growth. If sufficient capacity does not exist, we work with our engineering teams to identify solutions that avoid burdening the community.

This approach will build on what we’ve learned from the recent work at our datacenters in Quincy, Washington, an arid region where the local groundwater supply was already under pressure. To avoid drawing from the community’s potable water, we partnered with the city to construct the Quincy Water Reuse Utility, which treats and recirculates datacenter cooling water rather than relying on local groundwater. This approach protects limited drinking-water supplies while ensuring that high-quality, recycled water can be used for datacenter cooling needs. Where future system improvements are required, Microsoft funds those upgrades in full, ensuring that the community doesn’t have to shoulder the cost of supporting our operations.

We also partner with utilities from day one to map out water, wastewater, and pressure needs, and we fully fund the infrastructure required for growth, ensuring local water systems are resilient. Beyond our own footprint, we invest directly in community water infrastructure, modernizing water systems, expanding access, increasing water reliability, and helping utilities maintain stable rates and pressure. For example, near our datacenter in Leesburg, Virginia, Microsoft is funding more than $25 million of water and sewer improvements to ensure the cost of serving our facilities does not fall on local ratepayers.

Second, we will ensure that we replenish more water than we withdraw. This means restoring measurable amounts of water to the same water districts where our datacenter’s water is used, so the total water returned exceeds total water used. This standard provides greater transparency and precision in tracking and reporting, aligned with emerging industry standards.

We will pursue projects that make the most important water contribution to each local community. For example, in the greater Phoenix area and nearby Nevada communities, our leak detection partnerships with local utilities identify and repair hidden breaks in aging water systems, preventing water losses and keeping municipal water in circulation for community use. These projects both add to the total usable water supply and improve the reliability of service for residents.

Across the Midwest, we are restoring historic oxbow wetlands. These are crescent-shaped water bodies that naturally recharge groundwater, reduce flood risk, and enhance habitats for native species. These wetlands act as nature’s reservoirs, capturing and slowly returning water to local aquifers throughout both wet seasons and droughts, creating year-round value for farms, ecosystems, and nearby communities.

Overall, we approach replenishment the same way a household might think about a bank account: our operations make water withdrawals, and our replenishment projects make deposits. Some deposits, like our leak detection projects, go straight into the checking account—depositing water into the municipal supply for immediate community use. Others, like wetland restoration, go into a savings account—investing in the watershed’s long-term capacity to store and supply the region. These projects are evaluated using recognized methods that convert on-the-ground improvements into measurable gallons (or cubic meters) of water restored to local ecosystems, ensuring that commitments reflect tangible local benefits, not abstract promises.

Third, we will support this work with greater local transparency. People deserve to know how much water our datacenters use, and we are committed to making that information accessible, clear, and easy to understand. Aligned with this goal, we will begin publishing water-use data for each datacenter region in the country, as well as our progress on replenishment. This approach will ensure that communities can understand both our operational footprint and the progress we are making against our water-positive goals.

Fourth, we will advocate for public policies to help minimize water use and strengthen resilience. This means championing policies that enable sustainable growth while safeguarding community resources. We will support state and federal efforts to make reclaimed and industrial recycled water the default supply for datacenters wherever feasible. We will advocate for harmonized transparency standards that allow communities to clearly understand water use and stewardship practices. And we will work to reduce permitting delays by promoting predictable pathways for water-efficient datacenter projects.

These actions reflect our belief that technology and environmental responsibility must advance together, ensuring that AI-driven progress aligns with long-term water resilience for people, places, and ecosystems. Our policy activities are rooted in protecting local communities. By prioritizing recycled water and efficiency, we will help reduce pressure on aging municipal systems and ensure reliable water access for people and businesses.

3.We’ll create jobs for your residents.

New datacenters create jobs—typically thousands during construction and hundreds during operations. For example, in Washington state more than 1,300 skilled trades workers are building Microsoft datacenters and by the end of next year more than 650 full-time employees and contractors will work across all our operational facilities there.

One of our goals is to help ensure that workers from the local community benefit from these opportunities. To achieve this, we will invest in new partnerships to help give local residents the skills and opportunities to fill these jobs in both the construction and operational phases.

The AI infrastructure construction boom is driving large-scale physical development, creating a huge demand for skilled tradespeople nationwide. As datacenters and the energy projects that support them grow quickly, firms are vying for a limited workforce. At one level, this is good news for people who already have the qualifications these jobs require. But at another level, there is a risk the jobs will not go to local residents who want to pursue these jobs unless they can acquire the skills required.

We will take a multifaceted approach.

First, we will invest in partnerships to help train local workers to support the construction and maintenance of datacenters. This includes a new and first-of-its-kind partnership between Microsoft and North America’s Building Trades Unions (NABTU) to strengthen apprenticeship and training programs in the skilled trades where datacenters are being built. We are launching today a new agreement that establishes a cooperative framework to focus on building a pipeline of skilled workers in regions where we are building datacenters. This will also help enable NABTU to identify qualified contractor partners to bid on our infrastructure projects.

Second, we will expand our Datacenter Academy program to train individuals to fill ongoing datacenter operations roles. This program works in partnership with local community colleges and vocational schools to train students for critical roles in datacenter operations and related careers, once construction is complete.

A good example of this work is our Datacenter Academy partnerships in Boydton, Virginia, where we have a large datacenter campus. The Academy works with Southside Virginia Community College and the Southern Virginia Higher Education Center, which have helped hundreds of students and adult learners earn industry-recognized certifications in information technology and critical facilities operations.

In 2024, this work expanded with the opening of a new Critical Environment Training Lab (SoVA) in South Hill. This provides hands-on training with electrical, mechanical, and cooling systems using decommissioned datacenter equipment donated by Microsoft. Graduates of these programs have gone on to pursue careers supporting datacenter operations in Southern Virginia, including roles with Microsoft and the broader ecosystem of companies that help operate and maintain digital infrastructure. We will pursue similar partnerships in other states, and we are committed to making this an ongoing part of our work in the communities where we build new datacenters.

Third, we will use our voice to encourage policymakers to support these new job opportunities. While this work is of heightened importance in communities with datacenters, the broader need for this type of skilled labor is national in scope. According to LinkedIn data, job postings for data center occupations or requiring at least one core data center skill, such as data center operations, grew by 23 percent globally and 13.5 percent in the US year-over-year in 2025. This is likely to represent an ongoing trend. Over the next decade, trillions in private investment will offer steady employment opportunities for American workers—including electricians, pipefitters, HVAC techs, welders, and construction crews—alongside manufacturing technicians for related components, like chips, power generation, and cooling systems.

However, this rapid demand for skilled labor is set to outpace the available pipeline of workers. Today, the Associated Builders and Contractors estimates that the construction industry is short roughly 439,000 workers, mostly among skilled workers who do things like lay pipe and wire electrical panels.[1] Manufacturers report shortages as well, with the CEO of Ford Motor Company recently highlighting 5,000 open mechanic jobs that pay more than $100,000 per year. And for datacenter operations, employers face shortages in hands-on infrastructure skills such as cabling, racking, and network hardware.

This problem is exacerbated by the demographics of an aging workforce and a decades-old policy trend of deprioritizing vocational education for young Americans. A generation of skilled workers, vocationally trained in high schools and apprenticeships in the 20^th century, are retiring from the trades. In the first quarter-century of the 21^st century, high schools pivoted towards preparing young people for higher education and advanced degrees, often at the expense of traditional shop classes and training in skilled craftsmanship.

The increased demand for skilled trades, paired with an aging workforce, requires an enhanced public-private workforce partnership. Secondary schools in the US can be incentivized to do more to educate young people about the trades through vocational schools and pre-apprenticeship programs. Registered apprenticeship programs offered nationally provide a fulfilling career path with long-term wages and benefits.

In partnership with labor, the federal government can champion a national apprenticeship and workforce development initiative that helps young and aspiring American workers near AI infrastructure projects, especially in rural and post-industrial regions. President Trump’s AI Action Plan rightly identifies this opportunity, and we will work closely with the Department of Labor to help scale this effort. The federal government can also help by streamlining the process by which businesses can establish and maintain a registered apprenticeship program. They can also maximize the use of existing federal dollars that directly support registered apprenticeship programs. This could entail modernizing the regulations for the National Apprenticeship Act or updating the statutory language itself.

4.We will add to the tax base for your local hospitals, schools, parks, and libraries.

One of the most tangible benefits from datacenter development is invisible to an individual driving nearby. It’s the property taxes paid by datacenters to the local municipality, which are substantial. But this too requires that the private sector take a responsible approach, as described below.

We won’t ask local municipalities to reduce their local property tax rates when we buy land or propose a datacenter presence. Instead, we’ll pay our full and fair share of local property taxes, adding revenue to local towns and cities. This is obviously critical to supporting the growth a local community often experiences when datacenters are built or expanded. And most importantly, at a time when many communities are facing revenue shortages that threaten vital public assets like hospitals, schools, parks, and libraries, we know from experience that this can make a big difference.

The benefits of this approach are nowhere more apparent than in Quincy, Washington, a small agricultural community about 150 miles east of Seattle where Microsoft built its first datacenter in 2008. Since then, we have built more than twenty datacenters in the area, providing ongoing employment to thousands of construction workers for almost two decades. Hundreds of technicians enjoy permanent jobs in those datacenters, earning salaries well above the median income for Quincy. And we estimate that for every direct construction job created, another one is created in related sectors, including security services, maintenance and repair, retail, restaurants, and more. Altogether, our datacenters drive more than $200 million in regional economic activity each year.

As a result, the share of Quincy residents living below the poverty line has been cut in half, dropping from 29.4 percent in 2013 to 13.1 percent in 2023. And county property tax revenues have more than tripled over the past two decades, from roughly $60 million to more than $180 million. This has enabled the city to invest in public services and amenities. Last year, as rural hospitals around the country cut back on critical care offerings and shuttered their doors, Quincy opened a new 54,000-square-foot medical center. The city has also made substantial renovations to its high school, adding state-of-the-art athletic facilities, an auditorium, and a career and technical training department.

We want to make sure that the other communities where our datacenters are located benefit from our presence in the same way. In all the regions where we build, own, and operate datacenters, we’re devoted to taking a civically responsible approach. This means recognizing the importance of civic services, including public safety, local healthcare, schools, libraries, and parks. As we become an important local employer, local communities can count on us to be a constructive contributor to local business and civic efforts.

5. We’ll strengthen your community by investing in local AI training and nonprofits.

We believe the datacenter communities that power AI should be among the first to benefit from it. As these communities help drive innovation and economic growth for the nation, it’s essential that they share in the economic, educational, and community benefits AI is creating. Especially as jobs evolve and require more AI skills, this requires local investments in AI education and training. To support this goal, we will provide free, age-appropriate, best-in-class AI training and education in these communities in partnership with trusted, local community-based organizations.

For years, we have been helping people gain essential digital skills in communities in and around our datacenters, such as Quincy in Eastern Washington, Boydton in Southern Virginia, and Mt. Pleasant in Southeast Wisconsin. One thing we’ve learned is that these communities have vibrant anchor institutions—schools, libraries, and local chambers of commerce—that form the backbone of local learning, workforce development, and economic growth. That’s why our approach as we go forward will be to invest in communities with our datacenters to partner with and provide support to these anchor institutions so that every community member can leverage the power of AI in how they live, work, and learn.

First, we will partner with local K-12 schools, community colleges, and universities to provide age-appropriate, responsible AI literacy training and learning experiences for students and teachers in our datacenter communities. This will build on some of our most recent experiences. For example, in Quincy, Washington, we partnered with Quincy High School and the local FFA chapter to teach students the critical AI and data skills needed for careers in precision agriculture. And in our datacenter region in Mt. Pleasant, Wisconsin, we recently launched an AI bootcamp for students and faculty with Gateway Technical College to cultivate a new generation of developers and creators of AI tools and technology across Wisconsin technical colleges.

Our commitment is to build on this work to help students and teachers responsibly and effectively engage with AI, create with AI, manage AI, and design with AI by bringing free, locally relevant, responsible AI training that is aligned with AI literacy standards to students in every K-12 school, community college, and university in our datacenter markets.

Second, we will support adults in our datacenter communities with AI tools and skills by creating neighborhood AI learning hubs in partnership with local libraries in our key datacenter markets. This approach will build upon our previous digital skilling partnerships with local libraries. For example, during COVID, we partnered with libraries in rural communities across the country, and more recently, we helped train libraries in our Quincy and Mt. Pleasant datacenter markets on AI so that they could help their patrons learn AI skills. Building on this work, we will invest in AI literacy skills development for librarians and provide access to free AI literacy training and certifications to local library patrons, including by equipping public terminals at local libraries in our datacenter regions with AI tools and services.

Third, we will support AI skills training for small businesses. We recognize that AI training will be critical for small businesses as they navigate the transition to the AI economy. These businesses are the backbone of local economies, and their success directly impacts job creation, workforce stability, and community vitality. Through a new workforce transformation initiative, we will deliver AI training, tools, and insights to local chambers of commerce that support these small businesses. We will also provide flexible grants for AI training and upskilling to local chambers of commerce and a variety of workforce organizations to help local businesses upskill employees, adopt AI responsibly, and prepare their workforce for ongoing transformation—ensuring that economic opportunity stays rooted in the communities where we build and operate datacenters.

Finally, we will invest in your local nonprofit community. A defining aspect of Microsoft’s own history and culture has long been a commitment to support the many nonprofit organizations that are vital to every community the company calls home. As we expand our datacenters in new communities, we’re committed to bringing this role to these new regions.

This starts with support for our employees in the local community. We provide two key benefits to all our full-time employees. First, we will match every hour they spend volunteering for a nonprofit with a donation to that group of $25. Second, we’ll match each dollar they donate to a nonprofit with an equal donation by Microsoft. These give all our employees, including in our datacenters, a total potential match of $15,000 each year.

This approach to community engagement is an important part of Microsoft’s culture, and it has become the largest nonprofit charitable matching program in the history of business. In 2024 in the United States, it raised $229.1 million in donations for 29,000 nonprofits, plus 964,000 volunteer hours contributed by our employees. It’s a part of Microsoft we’re excited to bring to the communities that have our datacenters.

We recognize that our support for the local community also needs to go beyond this type of program. Our broader contribution must start with listening. You know best what your town needs, what nonprofits are making a difference, and which organizations are best positioned to do more. We will provide locally based Microsoft liaisons in major US datacenter communities to work side by side with local leaders and nonprofits. Our local staff will provide a community connection to our various Microsoft teams and resources. Working together, we will shape our direction and connection to help further our support for local nonprofits.

Conclusion

Many lessons emerge from the nation’s 250-year history relating to technology and infrastructure. The first is that large-scale infrastructure expansion is vital to economic growth and everyday improvements in people’s lives. Our lives today rely on electrical appliances, automobiles, phones, airplanes, and much more that would be impossible without modern infrastructure.

But a second lesson illustrates an important tension. Major infrastructure expansion is always difficult. It’s expensive. It inevitably raises questions, concerns, and even controversies. This has been true for more than 200 years, and we should assume it will be true well into the future. This always requires that important decisions be made by government leaders from village presidents and town councils to the American President and Congress.

Third, the most important decisions are often made at the local level. This reflects the outsized impact—both positive and negative—of infrastructure expansion at the local level. It also reflects the American political tradition and our zoning and permitting laws, which rightly put decision-making authority closest to those elected to serve local communities.

There’s a final lesson that speaks most directly to us. Private companies can help by stepping up and acting in a responsible way. We cannot surmount inevitable community challenges by ourselves. But we can make everything easier by embracing a long-term vision. By recognizing our responsibility. By playing a constructive role. And by supporting the entire community.

As we look to the future, we are committing to taking this final lesson to heart. And making it a fundamental part of our efforts every day.

[1] News Releases | ABC: Construction Industry Must Attract 439,000 W

 

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Read the full Global AI Adoption Report.

Global adoption of artificial intelligence continued to rise in the second half of 2025, increasing by 1.2 percentage points compared to the first half of the year, with roughly one in six people worldwide now using generative AI tools, remarkable progress for a technology that only recently entered mainstream use. 

To track this trend, we measure AI diffusion as the share of people worldwide who have used a generative AI product during the reported period. This measure is derived from aggregated and anonymized Microsoft telemetry and then adjusted to reflect differences in OS and device-market share, internet penetration, and country population. Additional details on the methodology are available in our AI Diffusion technical paper.^[1]

No single metric is perfect, and this one is no exception. Through the Microsoft AI Economy Institute, we continue to refine how we measure AI diffusion globally, including how adoption varies across countries in ways that best advance priorities such as scientific discovery and productivity gains. For this report, we rely on the strongest cross-country measure available today, and we expect to complement it over time with additional indicators as they emerge and mature. 

Despite progress in AI adoption, the data shows a widening divide: adoption in the Global North grew nearly twice as fast as in the Global South. As a result, 24.7 percent of the working age population in the Global North is now using these tools, compared to only 14.1 percent in the Global South.  

Countries that have invested early in digital infrastructure, AI skilling, and government adoption, such as the United Arab Emirates, Singapore, Norway, Ireland, France, and Spain, continue to lead. The UAE extended its lead as the #1 ranked country, with 64.0 percent of the working age population using AI at the end of 2025, compared to 59.4 percent earlier in the year. The UAE has opened a lead of more than three percentage points over Singapore, which continues in second place with 60.9 percent adoption.

 

The second half of the year in the United States shows that leadership in innovation and infrastructure, while critical, does not by themselves lead to broad AI adoption. The U.S. leads in both AI infrastructure and frontier model development, but it fell from 23rd to 24th place in AI usage among the working age population, with a 28.3 percent usage rate. It lags far behind smaller, more highly digitized and AI-focused economies. 

South Korea stands out as the clearest end-of-year success story. It surged seven spots in the global rankings, climbing from 25th to 18th, driven by government policies, improved frontier model capabilities in the Korean language, and consumer-facing features that resonated with the population. Generative AI is now used in schools, workplaces, and public services, and South Korea has become one of ChatGPT’s fastest-growing markets, leading OpenAI to open an office in Seoul.[2] 

 

A parallel development reshaping the global landscape in 2025 was the rapid rise of DeepSeek, an open-source AI platform that has gained significant traction in markets long underserved by traditional providers. By releasing its model under an open-source MIT license and offering a completely free chatbot, DeepSeek removed both financial and technical barriers that limit access to advanced AI. Its strongest adoption, not surprisingly has emerged across China, Russia, Iran, Cuba, and Belarus. But perhaps even more notable is DeepSeek’s surging popularity across Africa, where it is aided by strategic promotion and partnerships with firms such as Huawei.^[3]

This rapid evolution underscores an increasingly important dimension of AI competition between the United States and China, involving a race to promote adoption of their respective national models. DeepSeek’s success reflects growing Chinese momentum across Africa, a trend that may continue to accelerate in 2026. DeepSeek’s ascent also underscores a broader truth: the global diffusion of AI is influenced by accessibility factors, and the next wave of users may come from communities that have historically had limited access to technological progress. The challenge ahead is ensuring that innovation spreads in ways that help narrow divides rather than deepen them.

[1]A. Misra, J. Wang, S. McCullers, K. White, and J. L. Ferres, “Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage,” Nov. 04, 2025, arXiv: arXiv:2511.02781. doi: 10.48550/arXiv.2511.02781..

[2] OpenAI Korea set to launch next month – The Korea Times.” https://www.koreatimes.co.kr/business/companies/20250828/openai-korea-set-to-launch-next-month

[3] S. Rai, L. Prinsloo, and H. Nyambura, “China’s DeepSeek Is Beating Out OpenAI and Google in Africa (1).” Bloomberg News..

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Since opening our first Canadian office in Toronto in 1985, Microsoft has played an important role in every chapter of Canada’s digital story, long before cloud and AI were household words. That history matters. Over four decades, our company and our thousands of employees have grown alongside Canada. We’ve developed a deep appreciation for this nation’s culture, values, needs, and important role in the world.

Today we are announcing the most important commitment in Microsoft Canada’s history. We’re adding to our investments—with a total of $19 billion CAD between 2023 and 2027, including more than $7.5 billion CAD in the next two years. We’re building new digital and AI infrastructure needed for the nation’s growth and prosperity, with new capacity beginning to come online in the second half of 2026. Equally important, we’re launching a new five-point plan to promote and protect Canada’s digital sovereignty. And we’re combining this with ongoing and new work to invest in Canada’s people, ensuring they have access to the skills needed to succeed in an AI era.

This builds upon Microsoft’s longstanding and deep relationship with the Canadian people. With more than 5,300 employees across 11 cities nationwide, including Toronto, Vancouver, Montreal, Calgary, Edmonton, Ottawa, and Quebec City, we have employees in every region to bring talent closer to the communities we serve.

Beyond our own team, based on third party estimates, we’re fueling the broader tech ecosystem with more than 17,000 companies that are Microsoft partners in Canada generating between $33B CAD and $41B CAD in annual revenue. Based on this partnership model, Microsoft helps support 426,000 jobs across Canada, including close to 300,000 people who build solutions on Microsoft platforms or provide goods and services for these efforts. As we expand our AI and cloud footprint, these partnerships are helping Canadian organizations to modernize and compete globally.

Our commitment also extends beyond business. In 2024 alone, we donated $219M CAD in grants, employee giving, and technology services to Canadian non-profits and charities.

At its core, our commitment to Canada centres on three things: technology, trust, and talent.

Technology: Building the Backbone of Canada’s Digital Future

Canada’s AI transformation is accelerating. According to Microsoft’s AI Diffusion Leaderboard, Canada ranks 14th globally in AI adoption, with usage now topping a third of the population. Developer contributions are growing too with Canada ranking 14th worldwide in GitHub AI contributors.

This momentum is clear. Canada is a leader not just in AI research, but in putting AI to good use. But sustaining this momentum requires more than enthusiasm. It demands advanced AI infrastructure, sovereign safeguards, world-class cybersecurity, and a skilled workforce to keep pace with innovation. That’s why Microsoft is investing to create a secure, sustainable, and scalable backbone for AI adoption, empowering Canada to lead confidently in the AI era.

Our investment expands our Azure Canada Central and Canada East datacentre regions, delivering sustainable, secure, and scalable cloud and AI capabilities. These datacentres will power everything from modernized public services to advanced AI innovation—responsibly and within Canadian borders.

Every facility and datacentre we build in Canada reflects Microsoft’s global commitment to sustainability. We’re designing our facilities to be energy-efficient, powered increasingly by renewable energy, and optimized for water conservation through advanced cooling technologies. These steps align with our pledge to be carbon negative, water positive, and zero waste by 2030, ensuring that as we expand our AI and cloud footprint, we do so responsibly—minimizing environmental impact while supporting Canada’s clean energy goals.

Since early 2023, these investments have already launched major infrastructure projects, created thousands of jobs, and partnered with Canadian innovators to drive sustainability and economic growth. These datacentres also translate into thousands of construction and permanent engineering and technology jobs, partnerships with Canadian digital innovators, and a surge in local economic opportunity.

Our infrastructure expansion has helped transform and develop new industries—from retail and finance to cleantech and quantum computing. Firms like Canadian Tire, Manulife, BMO, and Gay Lea Foods are embracing AI to transform their businesses, and their stories are a testament to Canada’s leadership in digital adoption.

To help achieve our 2030 sustainability goals, Microsoft is also investing in Canadian cleantech innovation. Canada is recognized as a global leader in cleantech and carbon removal technologies, and we are proud to collaborate with outstanding Canadian companies like Eavor, Cyclic Materials, Arca, Deep Sky, and Carbon Engineering (via 1PointFive).

Trust: A Five-Point Plan to Protect Canada’s Digital Sovereignty

As important as our investment in AI infrastructure is the new company-wide initiative we are launching to protect Canada’s digital sovereignty. This builds on technology and expertise across Microsoft and is based on a five-part plan to defend Canada’s cybersecurity, keep Canadian data on Canadian soil, strengthen privacy protection, support leading local AI developers, and ensure the continuity of cloud and AI services.

Defending Canada’s cybersecurity

As we enter the second quarter of the 21^st century, the protection of digital sovereignty starts with the protection of cybersecurity. Reflecting Microsoft’s long-term presence in Canada, we appreciate how much has changed since the century began. During the first quarter of the century, Canada’s population grew by more than 28 percent and its GDP in real terms grew by more than 55 percent. Changing geopolitics and navigation in the Arctic Ocean have put Canada in a more important global position than ever.

Canada’s growth and importance have made the country a bigger cybersecurity target.

Microsoft has long prioritized the protection of Canadian cybersecurity. With unmatched threat intelligence capabilities based on 100 trillion signals from around the world every day, we’ve seen increasing international targeting of Canadian digital assets, especially from China, Russia, North Korea, and countries across south Asia and the Middle East. This has included influence operations in advance of elections and digital espionage focused on government agencies.

Even more significant, Canada’s diverse and robust economy has become a target of sophisticated international ransomware attacks. Organized criminal groups—some with nation state sponsorship—are targeting every sector of the economy and the public, and they are starting to rely on even more sophisticated technology and techniques, including AI. Our assessment is that in 2025 more than half of cyberattacks against Canada with known motives have been based on financial objectives, and 80 percent of them have involved efforts to exfiltrate data. Almost 20 percent have targeted the healthcare and education sectors, which creates more widespread threats to the public.

To strengthen our protection of Canada’s cybersecurity, we are launching today in Ottawa a dedicated Threat Intelligence Hub. This Hub will house Microsoft subject matter experts in threat intelligence, threat protection research, and applied AI security research. They will have access to Microsoft threat intelligence data and assets from around the world, so they can work closely with the Government of Canada and law enforcement partners to track and interdict nation state actors and organized crime.

In recent months, our team in Canada has been working to thwart China-based threat actors and has been sharing intelligence related to North Korean IT workers using stolen or fake identities to secure jobs with technology companies in Canada. We are dedicated to making this cybersecurity protection even stronger going forward.

Keeping Canadian Data on Canadian Soil

We also recognize the importance of ensuring that our Canadian customers can keep their local data on Canadian soil. This is why we embarked a decade ago, in close consultation with national leaders, to build and open our first two Canadian datacentres to provide local data residency in Toronto and Quebec City. We have steadily expanded our local services each year since. In 2026, we will take three new steps to keep Canadian data on Canadian soil.

First, we will strengthen sovereign controls and expand our data residency commitments by offering in-country data processing for Copilot interactions.

 

Second, we will expand our Azure Local offering in Canada to enable the extension of Azure capabilities to customer-owned environments such as private cloud and on-premises infrastructure.

And third, we will launch Sovereign AI Landing Zone (SAIL) in Canada. This is an open-source AI Landing Zone whose code will be hosted publicly on GitHub, and which will provide a secure foundation for deploying AI solutions within Canada’s borders, so organizations can build, scale, and innovate while maintaining the highest standards of privacy and compliance.

Protecting Canadian privacy

We recognize that privacy is a cornerstone of digital trust. We have long protected the digital privacy of people across Canada. As we look to 2026, we will build on this strong foundation with new technical capabilities and legal measures.

Next year, Microsoft will bring the latest confidential computing capabilities to our Canadian datacentre regions. Confidential computing in Azure enables organizations to keep data encrypted and isolated, even while in use, helping meet stringent digital sovereignty requirements. Azure Key Vault will also be available to Canadian customers, supporting external key management and allowing encryption keys to remain under customer control, whether stored on-premises or with a trusted third-party Hardware Security Module (HSM).

We will couple these technical measures with expanded contractual protection. We are codifying our promise to protect our Canadian customers’ data with a contractual commitment, in which we agree to challenge any government demand for Canadian government or commercial customer data where we have a legal basis for doing so.

Supporting Canada’s AI developers

Canada’s growing AI and digital ecosystem also requires protection and support for the nation’s leading AI developers. We have expanded this work in 2025 and will continue to prioritize these efforts in the year ahead.

Our work with Cohere exemplifies this commitment: we are welcoming Cohere into the Microsoft Foundry’s first-party model lineup, making their advanced language models—Command A, Embed 4, and Rerank—accessible on Azure. This will amplify Canadian innovation on a global stage. This partnership is built on more than technology; it is grounded in trust and shared values, with initiatives to help Cohere scale across Canada and worldwide.

We will explore new ways to integrate Cohere’s sovereign, made-in-Canada AI models into Microsoft services, helping to ensure Canadian enterprises and the public sector benefit from secure, locally developed solutions that embody responsibility and integrity. Together with Canada’s leading innovators, we are building relationships that deliver opportunity and impact while reinforcing the trusted foundation of Canadian digital sovereignty.

Defending the continuity of Canadian cloud services

Finally, in the face of geopolitical uncertainty, continuity is essential. Microsoft pledges to rigorously defend the uninterrupted operation of cloud services for Canadian government customers. If ever confronted with an order to suspend or halt operations in Canada, we will pursue every available legal and diplomatic avenue—including litigation—to protect access to critical infrastructure. Our track record demonstrates our resolve to stand up for customer rights. We remain ready to reinforce this commitment through robust contractual agreements, confident in our ability to ensure the ongoing operation of Canadian datacentres. Ultimately, these efforts aim to deepen trust between people, institutions, and nations, grounded in mutual respect and a shared commitment to advancing Canada’s digital future.

Microsoft’s digital infrastructure in Canada is not built on wheels. It is permanent infrastructure, and fully subject to Canadian laws and regulations. We recognize and respect that our operations in Canada are governed by Canadian law, just as we adhere to local laws in every country where we operate.

Talent: Investing in the Future for Every Canadian

At its core, every datacentre we build and every AI capability we deploy is an investment in Canadians and their future. Because technology alone doesn’t drive transformation, people do. That’s why it’s imperative to ensure that every Canadian can develop the skills needed to succeed in an AI era.

The need is clear. By 2030, nearly 60 percent of workers worldwide will require new digital skills, yet today only 24 percent of Canadians have received AI training, compared to a global average of 39 percent. Closing this gap is critical for Canada’s competitiveness.

Our new Microsoft Elevate business unit is designed to put people first, making AI opportunities accessible across the country. Since July 2024, Microsoft Canada has engaged 5.7 million learners through free skilling programs, with more than 546,000 individuals completing an AI training course. And we’re not stopping there. By 2026, Microsoft Elevate will help 250,000 Canadians earn in-demand AI credentials, ensuring the workforce is ready for the next decade of innovation.

Our partnerships amplify this impact. The Nonprofit AI Impact Hub, developed with the Canadian Centre for Nonprofit Digital Resilience (CCNDR) and Imagine Canada, strengthens the digital resilience of Canada’s 170,000 charities and nonprofits, which collectively employ 2.7 million people. Through role-based AI training and micro-credentials, we’re equipping this sector with tools to serve communities better.

We’re also investing in the next generation. Today, we are proud to announce a new partnership with Actua, a national leader that brings STEM education to youth throughout Canada, including those in remote, rural, and Indigenous communities. Microsoft Canada and Actua are committed to working with Indigenous communities across Canada to support AI skills development, so that the benefits of AI are felt widely. This partnership will support Actua’s AI Ready and InSTEM (Indigenous Youth in STEM) programs, to equip 20,000 young Canadians with essential AI skills. The InSTEM program will add AI learning for Indigenous youth, blending technology with cultural heritage and knowledge. For instance, students learn how AI tools can help preserve Indigenous languages and support cultural identity.

Canada Can Count on Us

Few American companies have benefitted more than Microsoft from such longstanding ties to Canada. Living so close to the border, we have long appreciated the many attributes that make Canada so special. We share more than geography. We share priorities like security, sustainability, and inclusive growth.

Today, we’re taking this partnership to the next level. We believe Canada has what it takes to help lead the world in responsible AI innovation and adoption, and we’re committed to being a partner every step of the way.

The post Microsoft Deepens Its Commitment to Canada with Landmark $19B AI Investment appeared first on Microsoft On the Issues.

Around the world, the dangers of extreme weather are a daily reality. In 2024, extreme weather displaced or disrupted the lives of more than 800,000 people worldwide —a reminder that accurate, timely forecasts aren’t just about data; they’re about people. From farmers deciding when to plant to coastal communities preparing for hurricanes, better forecasting can save lives, protect infrastructure, and support economies. 

That is why Microsoft remains deeply committed to Aurora, an AI model designed to help scientists understand Earth systems in new ways. Trained on vast amounts of data, it’s tuned to model the Earth’s systems. Aurora has already shown promise across multiple scenarios, including predicting the weather, tracking hurricanes and air quality, and modeling ocean waves and energy flows. 

Today, we are reaffirming our commitment: keep Aurora open, collaborative, and impactful so researchers can innovate faster and deliver solutions that help communities prepare, adapt, and thrive. Scientific progress depends on openness and a strong global community, which is why Aurora will progress as an open-source platform, enabling scientists everywhere to contribute and apply it to new climate and weather challenges. 

The next phase: Fueling innovation through research partnerships

We’re collaborating with Professor Rich Turner, a leader in machine learning research, and his lab at the University of Cambridge through a Microsoft AI for Good grant and research scientists to continue development of Aurora. Originally developed by Microsoft Research AI for Science, with collaboration from Professor Turner, we believe Aurora has the potential to change the way scientists around the world can use AI for weather and climate science. 

Building on our SPARROW initiative, we’re also investing in research of open-source weather stations that can expand access to high-quality environmental data. These affordable, community-deployable systems are designed to help fill critical observation gaps and strengthen the dependability of weather predictions where they matter most. 

Making Aurora available to scientists everywhere

Aurora’s source code and model weights are already open—but we’re going further. Together with Turner and Cambridge, our AI for Good team will open-source future releases of Aurora and new models that are built upon it, including training pipelines. By making Aurora open and free to build upon, we’re enabling researchers and developers everywhere to collaborate, contribute, and drive innovation together. 

Empowering national meteorological services

As with any technology, the measure of success for tools like Aurora is to have a positive impact on the lives of people. Empowering national meteorological services across the Global South, along with the Global North, is a priority.  We’re particularly focused on the application of Aurora to help meteorological services develop and strengthen their own forecasting systems that are tailored to their own local environments. This will allow them to adapt, extend, and innovate on top of Aurora, improving the accuracy, reliability, and reach of their forecasts. 

Enabling a cross-industry ecosystem

Aurora is trained on one of the largest collections of atmospheric data ever assembled to develop an AI forecasting model. It’s then fine-tuned to perform a variety of specific tasks, like predicting wave height or air quality, using modest amounts of additional data.  

The application of such a model could unlock innovation across all kinds of other industries. For example, energy companies and commodity traders have expressed interest, particularly in seeing how Aurora can be adapted to better predict renewable power generation, anticipate extreme weather events, and help protect energy grids. 

We are excited to see our work on Aurora graduate from a research project into a truly collaborative, open-source effort. By opening Aurora to the global community, we’re enabling breakthroughs in scientific understanding that we hope will transform humanitarian aid, optimize energy systems, advance sustainability, and even reshape financial services. 

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Today, I had the pleasure of joining a range of leaders for timely, impactful discussions on child well-being in the age of AI at the Vatican, building on thoughtful conversations held during the United Nations General Assembly. These issues are top of mind globally, from parents to policymakers to physicians.

At Microsoft, we remain focused on our goal of empowering young people to use technology safely, mindfully, and in pursuit of social, educational, and economic opportunities. That means taking new steps spurred by regulation, such as new age verification measures for our UK Xbox users, as well as adapting our longstanding commitments to responsible AI and child online safety and privacy to build trust in the AI era. Today, we’re sharing new research on youth perspectives, announcing the AI Futures Youth Council to amplify teen voices, and offering policy recommendations to help families navigate the digital world with confidence.

Centering young people’s voices: Announcing the AI Futures Youth Council and new age assurance research

In 2017, Microsoft led the industry with our first Council for Digital Good—a forum where we could hear directly from young people about their experiences and perceptions of online risk. In 2025, with AI reshaping our world—and their future—we again need to center the voices of young people as we think about responsible design for AI and how we set students up for the future. We are actively working with teens from the Asia-Pacific region to develop our first “for teens, by teens” guide to AI chatbots. Today, I’m pleased to announce the upcoming launch of our first “AI Futures Youth Council,” bringing together teens from the US and Europe to have their say on their future. We’ll share more about the application process soon.

We know that a critical precursor to providing young people positive and productive online experiences is understanding which users are young people. Around the globe, the debate over how to achieve age assurance online continues unabated. We have been grateful to work with CIPL and the WeProtect Global Alliance over the last year to explore how to achieve improved age assurance that is consistent with fundamental rights of privacy and access to information. As with any other safety intervention, our goal is to be proportionate and thoughtful where we take new steps, which is why we have focused on gaming in the first instance—reflecting the responsibilities we have to our youngest users and our ongoing commitment to player safety.

To inform our strategy and the broader policy conversation, we partnered with Praesidio Safeguarding to better understand youth perspectives on age assurance approaches across the UK, Ghana, and Indonesia. We are pleased to share that research today. The findings reinforce the importance of transparency, choice, and trust: teens want clear explanations of how their data is used, express concerns about exclusion where formal proof of age is lacking and show varying comfort levels with the use of biometric and behavioral data. Notably, young people value parental involvement but also highlight the need for independence and privacy as they mature. The results also highlight some of the important differences across geographies. For example, teenagers in Ghana often not only share devices with their families but may also share an account—underscoring a need for nuanced global approaches at multiple layers of the technology stack.

These insights underscore our belief that proportionality—matching safeguards to actual risks—is essential to building trust and empowering youth online. They also highlight the need for age assurance models that are inclusive, flexible, and respectful of youth autonomy—especially in global contexts where device and account sharing are common. We remain committed to ongoing dialogue and innovation, ensuring that our solutions evolve alongside the needs and expectations of children, families, and society at large.

Our policy recommendations: Empower young people to use technology safely

We believe technology should empower young people, not put them at risk. Given the diverse range of online services, it is important to remember there is no single “digital seatbelt” to protect and empower young people online.

We therefore offer the following recommendations as policymakers, regulators, and experts continue to discuss these issues, building on our 2024 blog:

• Avoid blanket access restrictions. Age assurance requirements that block full access to a service—except in limited cases like sites dedicated to age-restricted content (e.g., pornography)—can unintentionally limit child rights, such as access to information. Instead, age assurance should be applied at the service level, target specific design features that pose heightened risks, and enable tailored experiences for children.
• Focus on the highest risks for impact, such as content and features associated with documented harms to children, and as determined through democratic processes. Providers should take steps to assess and mitigate risks to children on their services, while ensuring documentation requirements or compliance obligations do not inadvertently undermine safety. A risk-based and proportionate approach—grounded in clear criteria and supported by interoperable standards—can also help ensure that age assurance is applied where most needed, without introducing unnecessary friction. Providers of high-risk services should bear the responsibility of age assurance.

• Strengthen safeguards for AI companions. Recent tragic events have highlighted the need for continued care in developing AI companions, especially where these may be used by young people. At Microsoft, we are building AI services for empowerment and want the right guardrails in place to protect all users but welcome new, commonsense measures such as those enacted in California and Australia to reduce the potential harms related to suicide and self-injury risks, as well as to sexualized or violent content. We will continue to work closely with researchers and experts to understand and mitigate potential risks to young people in this fast-evolving field.
• Incentivize age-appropriate design. Banning kids from online services isn’t the answer, but what constitutes an “age-appropriate” experience will vary. We have supported a duty of care approach to child safety where the duty can be implemented flexibly, guided by thoughtful and evidence-based regulatory guidance. Ongoing research and expert engagement are needed to understand how to advance child safety and rights on diverse services—not just social media.
• Protect the privacy and security of all users. Tailoring age assurance requirements will help enable proportionate approaches to data processing. Current proposals for age verification by app stores risk creating significant privacy risks by collecting sensitive information and sharing unnecessary age data with a wide variety of services while also not solving the challenges lawmakers want to address. We continue to support federal privacy legislation in the US and encourage global efforts to develop standards and certifications for age assurance providers. Trusted credential sharing can also increasingly be enabled by emerging digital identity ecosystems—including government-issued IDs and wallet-based models—that preserve mutual privacy between issuers and relying parties.
• Support, not overwhelm Our Global Online Safety Survey results show that while parents might underestimate the risks teens face online, teens are most likely to turn to a parent for help. Parents should not face a deluge of notifications nor bear the sole responsibility for safety but have access, awareness, and education on family safety tools that can help them make informed choices appropriate for their family and their values.
• Foster multistakeholder collaboration. We believe it’s essential to elevate the voices and perspectives of young people, as well as for regulators and industry to engage with civil society and partner to advance practical solutions. As child safety regulations come into force, it will also be important to get feedback from affected communities on where regulation may have adverse rights impacts, as well as to understand where harm may have been averted. Public education will be needed to help all users understand why their online experiences might be changing.

We will continue learning, listening, and collaborating, especially with our new Council, and look forward to sharing our insights.

 

 

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Artificial intelligence is transforming the way we work, learn, and innovate—and it’s doing so at a pace that surpasses every major technology before it. Microsoft’s inaugural AI Diffusion Report offers a comprehensive look at how AI adoption is accelerating worldwide, drawing on data from more than 100 countries. In less than three years, more than 1.2 billion people have used AI tools, a rate of adoption faster than the internet, the personal computer, or even the smartphone. This rapid diffusion underscores AI’s potential as a general-purpose technology but also highlights the urgent need to ensure equitable access.

The report introduces three indices—the AI Frontier Index, the AI Infrastructure Index, and the AI Diffusion Index—to help policymakers, researchers, and industry leaders understand where breakthroughs are happening, where capacity exists to scale, and where AI is being used to improve lives. These insights show that adoption is fastest where connectivity and digital infrastructure are strongest, while nearly four billion people still lack the basics needed to participate in the AI economy. Bridging this gap is essential to avoid deepening global divides.

Beyond the numbers, the report illustrates the need for collaborative action to expand access to digital infrastructure, strengthen skills development, and promote responsible AI policies. By investing in these foundational elements, governments and organizations can unlock AI’s potential for growth and innovation. The data makes clear that speed alone does not guarantee shared prosperity—broad accessibility does.

To explore the full findings and recommendations, read the AI Diffusion Report.

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To prepare the United Arab Emirates’ next generation for an AI-driven workforce, today we’re providing an update on our ambitious commitment to skill one million people across the UAE with an expansion of our global skilling initiative, Microsoft Elevate.

With Microsoft Elevate UAE we are making significant progress toward our goal with programs that will equip more than 250,000 students, staff, and faculty and more than 55,000 government employees with in-demand AI skills. Through sustained programs and new partnerships, Microsoft Elevate is providing advanced AI tools, in-demand credentials and comprehensive training to the region as we continue to work together to provide growth and opportunity for all.

As we shared earlier this week, Microsoft will invest USD 15.2 billion in the UAE before the end of this decade in a sustained commitment that brings together technology, talent, and trust to help the nation seize the opportunities of the AI era.

Together we will continue to ensure the region is uniquely positioned to harness this pivotal moment and remain at the forefront of AI use and innovation.

Advancing AI skills for the UAE’s next generation

As an update to our broader commitment to drive AI literacy and readiness across the UAE, Microsoft is announcing new partnerships with leading educational institutions and nonprofits to equip educators and students with essential AI skills and valuable credentials.

In close collaboration with the Ministry of Artificial Intelligence, Digital Economy, and Remote Work Applications over the next year, we will provide training for more than 30,000 educators and 70,000 students across the UAE to ensure technology adoption is broad-based and that students are equipped to become leaders in AI for the future. Moreover, our technical graduate skilling program will upskill Emirati graduates, empowering them with the expertise needed to develop and train future AI models.

Our work with GEMS, the largest private school provider in the UAE, is embedding AI skills into all its schools and expanding training programs for 10,000 teachers and 150,000 students. This includes custom-built AI agents, Copilot workshops, and AI fluency programs for teachers, administrators, and students. Because preparing the future workforce starts with skilling educators, we are also focused on AI teacher readiness, with Copilot and Learning Accelerator access for almost 10,000 teachers and students in private schools across the UAE.

Through partnerships with nonprofits like INJAZ UAE, we are delivering AI Fundamentals courses to the UAE. The Skills Spot platform hosts signature courses for students, educators, and developers, credentialing over 58,000 learners in foundational AI skills, digital safety, and practical applications.

And in higher education, Microsoft has partnered with leading UAE institutions to deliver impactful skilling programs that empower both students and educators. Through collaborations such as the partnership with MBZUAI, which was awarded a Microsoft Economic AI Institute research fellowship, Microsoft is advancing AI literacy and research in the region. Microsoft has also established agreements focused on training with the Higher Colleges of Technology and UAE University. These programs are designed to equip participants with cutting-edge knowledge in artificial intelligence and digital skills, fostering innovation and enhancing the competitiveness of the UAE’s academic community. By investing in these trainings, Microsoft is helping to build a robust talent pipeline that supports the nation’s vision for a knowledge-based economy and positions graduates and educators to thrive.

Credentialing 55,000 UAE government employees and empowering future leaders

Last year, Microsoft partnered with UAE government entities to launch an initiative to upskill 120,000 government employees across the Federal Government, Abu Dhabi, Dubai, and Sharjah.

Today, we are announcing the next phase in our goal to equip public sector teams with AI skills that will help transform services, drive innovation, and prepare the workforce for the future

In partnership with G42, we have developed three specialized courses for government employees, delivered through the JAHIZ platform to ensure federal workers have a front-row seat in advancing their skills. This ambitious upskilling initiative for UAE federal government workers is designed to provide both foundational knowledge and real-world applications of AI for the public sector, with the goal of credentialing 55,000 federal employees over the next year. This investment in human capital will help ensure the UAE’s government is equipped to lead in digital transformation and meet the challenges of tomorrow with confidence.

We also know that preparing leaders for the future means going beyond technical skills. That’s why we continue to offer high-impact, in-person leadership development programs for government executives, CEOs, and senior decision-makers. Developed last year in collaboration with INSEAD, these tracks focus on strategic thinking, digital transformation, and the responsible adoption of AI. By building leadership capacity and fostering innovation, we are helping government entities across the UAE embrace change and realize the full potential of AI for the benefit of all. To date, we have partnered with INSEAD and learning partners locally to train 1,200 senior leaders across the UAE government and are proud to continue this effort to help strengthen the UAE’s position as a global leader in responsible AI governance.

Microsoft Elevate: A promise to the UAE

As AI and digital transformation reshape the world, closing the digital divide and expanding opportunities for all require collaboration across government, education, civil society, and industry. That’s why skilling is at the core of our commitment.

The UAE stands out as a leader in AI adoption, according to Microsoft’s AI Diffusion Technical Report. Yet, a significant skills gap remains, with more than 40% of working-age adults not yet using AI in the region. Initiatives like those we announced today in partnership with the Ministry of Education and others will continue to help address these gaps—and we are not done.

At Microsoft, we look forward to continuing our three decades of partnership across the region and bringing our capacity-building programs to the UAE through Microsoft Elevate. Our work together with local partners is not just a program; it is a promise to support the nation’s vision, empower its people, and help create universal opportunity.

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