Report: Global AI Use Rises as Adoption Space Continues to Widen
AI use has actually reached 17.8% among the world’s working-age population, while adoption stays far greater in established economies than in the International South, according to Microsoft’s latest Global AI Diffusion Report.
The quarterly report, released by Microsoft’s AI Economy Institute, found that 26 economies now report AI use surpassing 30% of their working-age populations, up from the previous quarter.
The United Arab Emirates maintained its position at the top of Microsoft’s National AI Leaderboard with a 70.1% adoption rate, while the United States moved from 24th to 21st place with 31.3% of its working-age population utilizing AI tools. The rankings step generative AI use across populations between ages 15 and 64.
Juan Lavista Ferres, Microsoft’s primary data scientist and head of the AI Economy Institute, noted the uneven worldwide distribution in the company’s article revealing the findings. “The quarter brought ongoing widening of the AI gap in between the Worldwide North and South, with use now at 27.5% in the North and 15.4 percent in the South,” Ferres wrote.
The report highlights momentum in Asian markets, driven partly by enhanced AI abilities for Asian languages. South Korea, Thailand and Japan saw the most substantial motion in adoption rates during the quarter, according to the company.
Microsoft said the research is based upon anonymized telemetry information, with adjustments for differences in OSes, gadget market share, web gain access to and country populations. The company stated no single metric can fully record AI adoption which its AI Economy Institute is continuing to improve how it measures the innovation’s effect.
Software application development was one of the clearest areas of modification. Globally, Git pushes– the procedure developers utilize to upload code modifications– increased 78% year-over-year, a sign of increased coding activity as tools such as GitHub Copilot, OpenAI’s Codex and Anthropic’s Claude Code end up being more typical in advancement workflows.
The tasks information tells a more combined story than predictions of AI-driven job losses. U.S. software developer work reached about 2.2 million in 2025, up 8.5% from 2024 and the highest level on record. Early 2026 information revealed designer work in March had to do with 4% higher than it was a year previously.
“When designer productivity increases, the expense of building software application declines,” Ferres explained in the article. The economic logic recommends that if software application demand proves flexible, organizations respond by building more applications across broader use cases rather than minimizing headcount.
The quarterly measurement represents the most recent in Microsoft’s ongoing effort to track AI diffusion globally. The business notes that while no single metric completely captures technology adoption patterns, the existing technique supplies the greatest cross-country procedure available, with plans to incorporate extra indicators as methodologies grow.
The growing gap in between industrialized and developing economies shows that AI’s benefits are not spreading out uniformly, according to the business’s data. Microsoft found a 12.1 percentage point difference in adoption in between the Worldwide North and International South, a divide that seems expanding as facilities, language support and financial barriers continue to form who can utilize these tools.
Microsoft’s next quarterly update on the result of AI on the international economy is anticipated to be launched in August.