Industry

Global AI Usage Rises to 17.8% as UAE Leads and Coding Adoption Surges

Microsoft’s Q1 2026 Global AI Diffusion Report, released May 7, 2026, shows AI usage among the world’s working-age population increased 1.5 percentage points to 17.8%. The UAE leads at 70.1%, the US rose to 21st place at 31.3%, and 26 economies now exceed 30% usage. Git pushes worldwide jumped 78% year-over-year amid stronger AI coding tools.

Tech Insights Reporter May 7, 2026 6 min read Redmond

TLDR

Microsoft’s latest Global AI Diffusion Report (Q1 2026) finds that 17.8% of the global working-age population (15-64) used generative AI in the period, up from 16.3% in the prior quarter. The UAE remains the clear leader at 70.1%. The United States climbed from 24th to 21st with 31.3% usage. Twenty-six economies now surpass 30% adoption. AI-assisted coding drove an 78% year-over-year increase in global git pushes, while U.S. software developer employment hit a record 2.2 million (+8.5% YoY).

Adoption Metrics and Rankings

Microsoft measures AI diffusion as the share of people aged 15-64 who used a generative AI product, derived from aggregated Microsoft telemetry adjusted for OS/device share, internet penetration, and population.

Global: 17.8% (up 1.5 pp).
Top: UAE at 70.1%.
US: 31.3% (21st place, up from 24th).
26 economies now >30% usage.
Gap between Global North (27.5%) and South (15.4%) widened.

Accelerating adoption in Asia was aided by improved multilingual capabilities, with notable gains in South Korea, Thailand, and Japan.

Coding and Labor-Market Signals

Stronger AI coding models (Claude Code, OpenAI Codex, GitHub Copilot) translated into measurable productivity gains:

Global git pushes rose 78% year-over-year.
In the US, software developer employment reached ~2.2 million in 2025 (+8.5% YoY), a record high. Early Q1 2026 data showed March employment ~4% higher than March 2025.

The report notes that when developer productivity rises, the cost of building software falls. If demand is elastic, organizations build more software, which can increase rather than reduce demand for developers—at least in the near term.

Why this story matters

The report provides one of the broadest, population-normalized views of real-world generative AI adoption. It shows continued steady growth with clear leaders (UAE) and laggards, plus early evidence that AI coding tools are expanding software output without yet shrinking developer headcount. For policymakers, businesses, and researchers, these metrics help separate hype from measurable diffusion and highlight where multilingual and domain-specific improvements are moving the needle fastest.

Sources

Microsoft: “The state of global AI diffusion in 2026” (Juan Lavista Ferres; published May 7, 2026). https://blogs.microsoft.com/on-the-issues/2026/05/07/the-state-of-global-ai-diffusion-in-2026/
Full report: https://www.microsoft.com/en-us/research/wp-content/uploads/2026/05/Microsoft-AI-Diffusion-Report-2026-Q1.pdf
Data explorer: https://aka.ms/DiffusionReport2026Q1
Methodology reference: arXiv:2511.02781 (Misra et al.)

Featured Image Alt Text

World map highlighting AI adoption rates, with UAE in the darkest shade, followed by other high-adoption economies; inset charts show global usage trend and git-push growth.