Updated
Updated · Fortune · Jul 31
St. Louis Fed Finds No AI Productivity Bump in 490,000 Earnings Calls
Updated
Updated · Fortune · Jul 31

St. Louis Fed Finds No AI Productivity Bump in 490,000 Earnings Calls

3 articles · Updated · Fortune · Jul 31

Summary

  • A St. Louis Fed study of nearly 490,000 earnings-call transcripts from 5,198 U.S. public firms found AI has yet to produce a measurable aggregate productivity gain, matching three years of official data.
  • About 15% of productivity commentary was tied to AI by end-2025, but roughly 95% of those remarks described expected future gains rather than benefits already realized.
  • Serdar Ozkan said AI may still be boosting output in ways statistics miss: when content becomes far cheaper and more abundant, its market value falls, offsetting measured productivity gains.
  • The paper also points to slower-moving bottlenecks and historical diffusion lags—often 20 to 30 years for general-purpose technologies—suggesting AI's economy-wide payoff may take decades to appear.
  • Researchers said firms discussing AI positively are increasingly backing that optimism with higher R&D, capital spending and investment, even as the aggregate payoff remains unclear.

Insights

Are outdated economic metrics failing to measure AI's true impact, or are corporations simply exaggerating their technological gains?
If AI saves workers countless hours, why is the massive productivity boom still completely invisible in official economic data?