The Anthropic Economic Index shows AI adoption rising at unprecedented speed, with 40% of U.S. employees already using AI at work. Usage is uneven: advanced economies like Israel, Singapore, and South Korea lead per capita adoption, while India, Indonesia, and Nigeria lag far behind. Coding remains the most common use, but education and science tasks are growing quickly. Users are increasingly delegating full tasks to AI, though high-adoption regions lean toward collaborative use while lower-adoption regions favor automation. Enterprises are adopting AI mainly for specialized tasks like coding, debugging, and data processing, with capability and value driving adoption more than cost. These patterns suggest rapid but unequal diffusion, raising concerns that AI could widen global inequality if access gaps persist
In academic partnership with Virscend University, a WASC-accredited institution in Irvine, California.