Global AI adoption reached 17.8% of the world's working-age population in the first quarter of 2026, with the United Arab Emirates (UAE) recording the highest usage rate worldwide, according to Microsoft estimates published by Visual Capitalist on May 19, 2026. (19/05)

The data measures the share of each country's working-age population using AI tools for at least 90 minutes per month. While American companies continue to dominate AI development, the countries with the highest AI usage are largely smaller economies.

UAE and Singapore Lead Global AI Adoption

The UAE ranked first with an AI adoption rate of 70.1%, followed by Singapore at 63.4%.

Norway placed third with 48.6%, ahead of Ireland at 48.4% and France at 47.8%. Spain, New Zealand, the United Kingdom, the Netherlands, and Qatar each recorded AI adoption rates above 40%.

The top 15 also included Australia (39.5%), Belgium (39.0%), Israel (38.1%), Switzerland (37.8%), and Canada (37.3%).

Smaller Economies Expand AI Use More Quickly

The rankings suggest that developing leading AI models does not automatically result in widespread everyday use.

According to the report, smaller economies such as the UAE and Singapore have integrated AI across business, education, and government services through centralized digital strategies and significant infrastructure investment.

Europe also recorded strong adoption, with countries including Norway, Ireland, France, Spain, and the Netherlands reporting usage rates above 40%. The report attributes this performance to widespread enterprise digitization, advanced broadband infrastructure, and highly digital workforces.

The report states that many emerging economies remain in the early stages of AI adoption, creating a widening global AI gap that could reshape productivity and economic competitiveness over the next decade.

U.S. Trails Many Countries Despite Leading AI Development

The United States recorded an AI adoption rate of 31.3%, placing it behind more than 20 countries despite leading the world in AI investment and infrastructure.

The report says one reason is scale, noting that deploying AI tools across a large workforce is more difficult than in smaller, digitally centralized economies such as Singapore and the UAE.

It also highlights a growing divide between building AI and using it. While the United States leads AI model development, chip design, and venture funding, several smaller economies are integrating AI into everyday work at a faster pace.

AI adoption also varies across the United States. A separate study cited in the report found that 22.4% of workers in Washington state use AI, compared with 13.1% in South Dakota.

Asia Records the Fastest AI Adoption Growth

According to Microsoft's data, Asia accounts for 10 of the world's 15 fastest-growing AI markets.

South Korea recorded the largest increase in AI usage, rising 43.2% between the first half of 2025 and the first quarter of 2026. Thailand followed with growth of 36.2%, while Japan and Mongolia recorded increases of 34.1% and 32.2%, respectively. Over the same period, AI usage in the United States increased by 19%.

The report says the growth reflects improvements in non-English AI performance, making AI tools more useful across Asian markets. It also notes that the region continues to invest heavily in digital infrastructure.

China recorded an AI adoption rate of 16%. The report states that although the figure remains relatively low, even modest increases could add hundreds of millions of new AI users because of the country's population size. It also notes that China, like the United States, plays a leading role in AI model performance, particularly in open-source models.

AI Adoption Gap Continues to Grow

The report says countries with higher AI adoption generally share strong internet infrastructure, service-based economies, high digital literacy, and significant investment in cloud computing and AI education.

Meanwhile, lower-income regions across Africa and parts of South Asia continue to face barriers including internet access, device affordability, and limited enterprise AI integration.

PHOTO: FREEPIK

This article was created with AI assistance.

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