A look at the global AI adoption in 2025; use in the global north grew nearly twice as fast as the south; the UAE leads with 64% of working-age adults using AI
AI Diffusion Report 2025 — Executive summary — Global adoption of artificial intelligence continued to rise in the second half of 2025 …
Context & Ripple Effects
The report adds a geographic dimension to earlier evidence that AI use is becoming routine: a 2025 survey found rising U.S. workplace use, while an earlier cross-industry estimate put AI use at 15% of the global working population. Its key contribution is to show that aggregate growth is not translating evenly across regions.
The UAE’s leading position fits a broader national push that includes introducing AI concepts across its public-school curriculum. At the same time, reported faster adoption in the global north makes access and deployment capacity—not merely model availability—a central fault line.
First-order effects
- The UAE becomes a visible benchmark for broad AI uptake among working-age adults, strengthening the case for its education-led and state-backed adoption agenda.
- The reported north-south growth gap gives governments, employers, and development programs a clearer signal that global AI diffusion is diverging rather than converging.
Second-order effects
- Countries and platform providers seeking adoption gains will face pressure to pair AI access with training, local deployment, and institutional distribution; school systems are already a major deployment channel in the global race to bring generative AI into education.
- The disparity raises the value of initiatives aimed at expanding AI availability in lower-adoption markets, such as Microsoft’s planned Global South AI investment program, while making outcomes more dependent on execution than on infrastructure commitments alone.
Third-order effects
- If the gap persists, AI’s economic and institutional benefits may concentrate where deployment networks, skills programs, and public-sector adoption are already strongest—turning diffusion into a source of durable cross-region advantage.
- The pattern points toward AI policy shifting from model development toward deployment capacity and access sovereignty, with national education and infrastructure programs serving as long-term distribution systems.
The trend: AI competition is increasingly being decided by who can diffuse tools through workplaces, schools, and public institutions fastest, not simply by who develops the models.