Global AI Adoption Reached 18.8 Percent in June
The Microsoft report tracks generative AI usage across 147 economies for the second quarter of 2026.
Updated on Sept. 21, 2026 in Artificial Intelligence

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Global AI adoption among the working-age population reached 18.8% by June 2026, according to the Microsoft AI Economy Institute. The report measured adoption across 147 economies using data from branded devices adjusted for population and internet access.
Why it matters
The report highlights a significant divide in AI integration between the Global North and Global South, providing a benchmark for national technology policy. Tracking these figures helps identify which economies are accelerating generative AI integration into the workforce.
The U.S. AI adoption rate increased to 33% in Q2 2026, up from 31.3% in the previous quarter. Global North usage stands at 28.8%, significantly outpacing the 16.2% adoption rate measured in the Global South.
The players
Microsoft
A multinational technology company providing cloud computing, enterprise software, and AI-integrated products through its AI Economy Institute research arm.
The details
Microsoft measured AI expansion by tracking the share of people aged 15 to 64 who used a generative AI product. The firm calculated these percentages using anonymous data aggregated from branded devices, which were then normalized to account for differences in total population and internet access across 147 economies.
Timeline
Q1 2026 marked the baseline for the U.S. AI adoption ranking.
June 2026 saw global working-age AI usage climb to 18.8%.
Q2 2026 served as the reporting period for the Microsoft Global AI Diffusion report.
The Tech Race
The report establishes a baseline for comparing how rapidly generative AI tools transition from experimental technology to standard consumer products. Nations are currently competing to integrate these tools into their labor forces, as evidenced by South Korea adding 15 percentage points to its AI user share over the past 12 months.
Readers can see how their national technology ecosystem compares to global leaders like the United Arab Emirates and Singapore. This data provides a baseline for understanding the speed at which generative AI is being normalized into the daily workflows of the working-age population.
The takeaway
The data confirms a widening gap in generative AI utilization that policy leaders will likely watch as a proxy for regional economic productivity. Watch for subsequent quarterly reports to confirm if the 3.5 percentage point growth seen in South Korea represents a sustainable trajectory for developed economies.
Further reading
Explore more industry benchmarks in Artificial Intelligence.
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