Microsoft Report Finds Global AI Usage Jumped to 17.8 Percent With UAE Leading at 70 Percent Adoption

--- headline: "Microsoft Report Finds Global AI Usage Jumped to 17.8 Percent With UAE Leading at 70 Percent Adoption" slug: microsoft-global-ai-diffusion-2026 category: research story_number: "12" date: 2026-05-07 ---

# Microsoft Report Finds Global AI Usage Jumped to 17.8 Percent With UAE Leading at 70 Percent Adoption

Nearly one in five working-age adults worldwide now uses generative AI, but the technology"s benefits are accumulating fastest in wealthy nations, according to the latest quarterly report from Microsoft"s AI Economy Institute released on Wednesday. The findings lay bare a paradox at the heart of the AI boom: even as adoption accelerates globally, the gap between the digital haves and have-nots is getting wider.

The Global AI Diffusion Report, authored by Microsoft Chief Data Scientist Juan Lavista Ferres and his team, found that generative AI usage rose 1.5 percentage points during the first quarter of 2026, climbing from 16.3 percent to 17.8 percent of the global working-age population, defined as people between the ages of 15 and 64. Twenty-six national economies now exceed a 30 percent usage rate, up from the previous quarter.

At the top of the leaderboard sits the United Arab Emirates, which extended its lead with a 70.1 percent adoption rate, up from roughly 64 percent in the second half of 2025. The UAE"s dominance reflects a decade-long national strategy to diversify its economy beyond hydrocarbons, one that has attracted partnerships and investments from Microsoft, Nvidia, and OpenAI. Singapore, Norway, Ireland, and France round out the top five.

The United States, despite being home to the companies building the most powerful AI systems on Earth, ranked only 21st, with 31.3 percent of its working-age population using generative AI tools. That represents a modest improvement from 24th place in the prior quarter, but the gap between America"s status as an AI producer and its relatively middling rank as an AI consumer remains striking.

"The quarter brought continued widening of the AI gap between the Global North and South, with usage now at 27.5 percent in the North and 15.4 percent in the South," Lavista Ferres wrote in the blog post accompanying the report. That 12.1 percentage-point divide widened by 1.5 points from the second half of 2025, driven by unequal access to internet connectivity, electricity, basic digital literacy, and AI models that perform well in non-English languages.

There are, however, bright spots. The report documents accelerating adoption across parts of Asia, particularly in South Korea, Thailand, and Japan, where improving multilingual capabilities in AI models are lowering barriers that previously kept users on the sidelines. The report includes a deeper analysis of Japan, where enhanced language support has translated into measurable gains in adoption rates.

The coding economy offered some of the quarter"s most striking data points. Git pushes, the mechanism through which developers upload code changes, surged 78 percent year over year globally, reflecting the growing influence of AI-assisted development tools such as GitHub Copilot, OpenAI"s Codex, and Anthropic"s Claude Code. Rather than eliminating programming jobs, the productivity gains appear, at least for now, to be expanding demand. U.S. software developer employment hit approximately 2.2 million in 2025, an 8.5 percent year-over-year increase and a record high. Early data for 2026 shows headcount in March was about 4 percent above the year-prior level.

"When developer productivity increases, the cost of building software declines," Lavista Ferres explained in the report. The economic logic is straightforward: if demand for software is elastic, cheaper production leads to more software being built across a wider range of use cases rather than fewer developers being hired. Whether that dynamic holds as AI coding tools grow more capable remains an open question, but the employment data so far defies the most pessimistic predictions.

Microsoft derives its adoption estimates from aggregated and anonymized telemetry data, adjusted for differences in operating systems, device market share, internet penetration, and country populations. The company acknowledges that no single metric can perfectly capture AI diffusion and says it plans to complement its current approach with additional indicators as new methodologies mature.

Why This Matters

The report arrives at a moment when policymakers, from Capitol Hill to the European Commission to the Gulf Cooperation Council, are grappling with how to govern a technology that is spreading unevenly. The 12.1-point gap between the Global North and South is not just a statistic; it maps onto existing inequalities in education, infrastructure, and economic opportunity that AI could either help close or further entrench. Countries that lack reliable electricity and broadband cannot participate in an AI-powered economy regardless of how open-source or affordable the underlying models become.

The UAE"s dominance is instructive. Abu Dhabi and Dubai have treated AI adoption as a matter of national industrial policy, investing in data centers, sovereign AI funds, and regulatory frameworks designed to attract foreign technology partners. That top-down approach has produced results that far outpace larger and wealthier economies, including the United States.

Meanwhile, the developer employment data challenges a narrative that has dominated tech discourse for the past two years: that AI will rapidly automate away knowledge work. The 78 percent jump in Git pushes suggests that AI coding tools are creating more code, not replacing the people who write it. But Lavista Ferres and his colleagues are careful not to declare victory. It is still early, and the labor-market effects of AI-assisted software development could shift as the tools improve.

What to Watch Next

Microsoft"s next quarterly update is expected in August, and the key question will be whether the North-South gap stabilizes or continues to widen. Progress in multilingual AI models, particularly for languages spoken across Africa and South Asia, could begin to flatten the curve. So could the continued spread of open-source models like DeepSeek, which have gained traction in developing nations by removing cost barriers. On the coding front, analysts will be watching whether developer employment growth holds up as AI tools become capable of handling increasingly complex tasks autonomously.