The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies
Frontier AI's labor-market effects matter to workers, firms, and policymakers, but current evidence generally comes from a handful of high-income economies. The capabilities of frontier AI are jagged across work tasks and national economies diverge in how they allocate human labor. We introduce a national AI exposure metric that combines occupation-level exposure scores and international employment data for 141 countries. We find that high income countries are substantially more exposed than low income countries and that Europe and Central Asia are 50 percent more exposed than Sub-Saharan Africa. We also find a gender gap: women are more exposed than men in 91 percent of countries, driven...
| Authors | Arul Murugan, Tomás Aguirre, Abhishek Nagaraj et al. |
|---|---|
| Primary category | cs.CY |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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