Anthropic maps three AI economy futures, from slow gains to 15% GDP

Anthropic's research lands amid rising calls for exactly this kind of analysis. In July, more than 200 economists, executives, and researchers—including Eric Schmidt, Reid Hoffman, Joseph Stiglitz, Paul Krugman, and Daron Acemoglu—signed an open letter urging policymakers to prioritize research into AI's likely economic effects and build guardrails before a transformation they called "larger than the Industrial Revolution."

The scenarios themselves carry a notable caveat: Anthropic's model calculates GDP purely from the supply side, without accounting for whether anyone can buy what's produced. The company's own tool notes it "leaves out policy responses, business cycles, potential aggregate demand or financial market disruptions, and possible catastrophic risks," calling the framework a "stark simplification of a complex reality." Cofounder Jack Clark also suggested that if growth does arrive fast, the tax windfall could give policymakers room to help displaced workers—something he called "unimaginable today."

Not everyone buys the optimistic end. Economists Ben Moll and Alex Imas dismissed double-digit GDP growth predictions, noting that "10 times richer in 15 years" implies 16.6% annual growth and a world 100 times richer in 30 years. Moll lists five conditions that would all need to hold for an AI growth explosion. Meanwhile, Ramp's data shows business adoption creeping up just 0.4 percentage points in August, suggesting the near-term path looks more like the slower scenario than the exponential one—though that reading hinges on whether adoption accelerates from here.