March 24, 2026
Date: March 24, 2026
Anthropic’s fifth Economic Index, released March 24, 2026 and titled “Learning Curves,” analyzed over one million Claude conversations from February 2026 and found that users with six or more months of experience achieve a 10% higher success rate in AI interactions than newcomers — a gap that persists after controlling for task type, geography, and model used. The effect strengthens with time: the longer a user has been working with AI tools, the wider the performance advantage. Task diversity is also increasing — the top ten most common tasks now account for just 19% of conversations on Claude.ai, down from 24% in November 2025, suggesting experienced users are finding a broader range of applications. Two workflow categories doubled in prevalence between November and February: automated sales and outreach, and automated trading. A companion piece published earlier this month found no systematic increase in unemployment for highly AI-exposed workers so far, but identified tentative evidence that hiring of workers aged 22 to 25 has slowed in AI-exposed occupations.
The findings arrive alongside rising public skepticism about AI. An NBC News poll earlier this month found 57% of registered voters believe AI’s risks outweigh its benefits. Anthropic CEO Dario Amodei has separately warned that AI could eliminate half of entry-level white-collar positions. The report’s researchers acknowledge that early-adopter bias may partly explain the experience gap — more sophisticated users may have simply signed up first — but frame the pattern as a potential new axis of economic inequality. Anthropic’s own operations reflect the scale of the shift: Amodei has said 70 to 90% of code written at Anthropic is now generated by Claude. Claude Code reached $1 billion in annualized revenue within roughly six months of its May 2025 public launch and surpassed $2.5 billion by early February 2026. Anthropic’s overall annual revenue run rate stands at $14 billion.
According to AICV, the experience gap documented in Anthropic’s Economic Index is directly observable in the Coachella Valley. The region has no major tech employer, no university research program in AI, and limited institutional infrastructure for structured AI skills development. Workers and small businesses entering AI adoption now are behind the curve by the index’s own measure — the gap between early adopters and newcomers is already measurable and widening. Regional workforce institutions including College of the Desert and the CSUSB Entrepreneurship Resource Center are the primary access points for closing that gap locally. The index’s findings reinforce the case for structured, in-person AI literacy programming in the valley rather than self-directed adoption.