The Global Ledger
Meeker's 2025 report documents the global distribution of AI adoption with the granularity her framework demands. North America leads with approximately 40% of knowledge workers reporting regular AI use by mid-2025. East Asia follows closely, with South Korea and Japan at the high end. Western Europe lags by 12–18 months, constrained more by regulatory caution than infrastructure. Sub-Saharan Africa sits below 5%, constrained by everything simultaneously — infrastructure, device access, connectivity costs, language support, institutional capacity. The numbers describe a familiar landscape. Every prior technology Meeker mapped showed similar distribution patterns: early adoption concentrated in wealthy nations, diffusion proceeding outward along paths determined by infrastructure investment and institutional readiness. The pattern approaches the status of a structural law: technology flows downhill, along gradients of existing advantage. AI adds variables — capital concentration, language bias, cognitive dependency — that may make this inequality more persistent than in prior cycles.
In the AI Story
The global ledger pattern has historical consistency across every technology Meeker has tracked. The internet followed it. Mobile followed it. Cloud computing followed it. The pattern's reliability approaches that of a physical law of technology diffusion.
AI introduces variables that complicate the pattern. Mobile provided connection — the farmer with a smartphone gained access to market data but remained the agent of decisions. AI provides capability — not merely access to information but the ability to process, synthesize, and generate output. Connection and capability have different dependency structures.
The infrastructure concentration means the rest of the world is a customer of cognitive capability built elsewhere. The customer relationship provides genuine benefit — the capability is real — but carries a dependency that the mobile precedent did not involve.
The educational dimension amplifies existing inequality. Countries whose educational systems produce evaluative judgment and critical thinking can convert AI adoption into genuine capability improvement. Countries whose systems emphasize procedural knowledge produce graduates whose skills compete with AI rather than complementing it. The demographic fractures that exist within countries compound with the geographic fractures between them.
Origin
The pattern emerged across Meeker's decades of technology adoption analysis, documented with specific AI adoption data in the 2025 report. The pattern's consistency across technologies, combined with AI-specific amplifiers, makes the global distribution analysis particularly consequential for the transition's long-term equity.
Key Ideas
Technology flows downhill. Adoption follows gradients of existing advantage — infrastructure, wealth, institutional capacity — with reliability approaching that of a physical law.
The pattern holds for AI. North America and East Asia lead; Western Europe lags on regulatory caution; Africa and parts of Asia adopt at a fraction of wealthy-nation rates.
AI adds amplifiers. Capital concentration, language bias, and cognitive dependency may make AI's inequality more persistent than prior technology inequalities.
Connection differs from capability. Mobile provided connection that enabled local innovation; AI provides capability that resists local replication at the frontier.
Education mediates outcome. The same tool produces different outcomes in educational systems that develop evaluative judgment versus those that emphasize procedural knowledge.
Appears in the Orange Pill Cycle
Further reading
- Mary Meeker, Trends — Artificial Intelligence (Bond Capital, 2025)
- Gunnar Myrdal, Asian Drama (Pantheon, 1968)
- Ha-Joon Chang, Kicking Away the Ladder (Anthem, 2002)