- Global AI adoption reached 17.8% of the working-age population in Q1 2026, up 1.5 percentage points from the prior quarter, according to Microsoft’s Global AI Diffusion Report. The UAE led all nations at 70.1%, while 26 economies now exceed 30% usage. The United States ranked 21st with a 31.3% usage rate.
- Asia saw notable acceleration, driven by improved multilingual AI capabilities, with South Korea, Thailand, and Japan recording the largest regional gains. Despite this progress, the gap between the Global North and Global South widened to 27.5% versus 15.4%. In software development, AI coding tools contributed to a 78% year-over-year rise in git pushes, while U.S. developer employment reached a record 2.2 million.
Global AI adoption climbed to nearly 18% of the world’s working-age population in the first quarter of 2026, according to Microsoft’s latest Global AI Diffusion Report, even as the gap between wealthy and developing nations continued to widen and Asia emerged as a surprising bright spot.
Key takeaways
- Global AI adoption reached 17.8% of the world’s working-age population in Q1 2026, with the UAE leading at 70.1% and 26 economies now surpassing 30% usage.
- Asia is the quarter’s biggest mover thanks to better multilingual AI, but the Global North–South gap widened to 27.5% versus 15.4%.
- AI coding tools drove git pushes up 78% year over year, yet U.S. software developer employment hit a record 2.2 million, up 8.5%.
Usage up 1.5 points in a single quarter
AI usage increased by 1.5 percentage points from 16.3% to 17.8% of the world’s working-age population during the first quarter of 2026, Microsoft Chief Data Scientist Juan Lavista Ferres wrote in a company blog post accompanying the report’s release. The growth was not confined to countries just beginning to adopt the technology. 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, a sign that even mature AI markets have room to deepen adoption rather than plateau.
At the top of Microsoft’s National AI Leaderboard, the United Arab Emirates continued to lead global AI diffusion at 70.1%, far outpacing the rest of the field. The United States finally started to move up the national rankings, albeit only from 24th to 21st, based on a 31.3% usage rate among its working-age population. The modest climb suggests that, despite being home to many of the world’s leading AI developers, American adoption has lagged behind smaller, faster-moving economies.
Asia accelerates, but the North-South divide keeps growing
Among the quarter’s notable developments was accelerating AI adoption across Asia, driven in part by improving AI capabilities in Asian languages. South Korea, Thailand, and Japan saw the greatest movement of any countries in the region, pointing to multilingual model improvements as a meaningful driver of new usage. Ferres highlighted Japan specifically as a case study on the positive impact of enhanced multilingual AI capabilities.
Despite that regional progress, the report found the broader global divide continued to widen. Usage now stands at 27.5% in the Global North compared with 15.4% in the Global South, a gap that grew even as overall global adoption rose.
How Microsoft measures diffusion
Microsoft tracks AI diffusion as the share of people worldwide between ages 15 and 64 who have used a generative AI product during the reported period. The measure is derived from aggregated and anonymized Microsoft telemetry, adjusted for differences in OS and device-market share, internet penetration, and country population. The company acknowledged that no single metric captures the full picture, and said that through the Microsoft AI Economy Institute, it continues refining how it measures diffusion globally, including how adoption varies across countries in ways that advance priorities like scientific discovery and productivity gains, while planning to add further indicators over time.
Sectorally, the report’s clearest story was in software development. Strengthened AI coding capabilities led to a dramatic increase in code production, reflected in output from Anthropic’s Claude Code, OpenAI’s Codex, and Microsoft’s GitHub Copilot. Git pushes, through which developers post coding changes online, rose 78% year over year globally.
Crucially, the report found evidence that AI coding tools may, for now, be increasing rather than reducing demand for software developers. Microsoft explained the logic: as developer productivity rises, the cost of building software falls, and if demand for software is elastic, organizations respond by building more software across a wider range of use cases.
The employment data support that reasoning. In 2025, total U.S. software developer employment reached approximately 2.2 million, up 8.5% year over year and a record high for the profession. Early 2026 figures show developer employment in March was about 4% higher than in March 2025.
