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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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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