Stanford researchers link job declines in AI-exposed fields to Fed tightening

Stanford researchers, Zanna Iscenko and Fabien Curto Millet, analyzed 238 million job postings and found that declines in occupations exposed to AI coincided with the Federal Reserve's rate tightening cycle. The Economic Policy Institute noted that young workers without college degrees in unexposed fields also saw their unemployment rate rise during the same period. The researchers cautioned that their findings represent "descriptive patterns, not causal estimates."

The analysis suggests that sectors sensitive to interest rates, including finance and professional services, are experiencing employment shifts tied to monetary policy. This challenges the widespread belief that AI is the sole cause of employment decline, as the timing aligns with the Federal Reserve's tightening cycle.