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Yale Study Finds No Broad AI Impact on U.S. Jobs, Notes Early‑Career Divergence

Researchers plan monthly tracking, expecting major labor shifts to take years.

Overview

  • Yale’s Budget Lab, working with Brookings, reports no discernible economy-wide disruption in the U.S. jobs mix since ChatGPT’s 2022 release.
  • The analysis finds no acceleration in occupational churn compared with pre‑ChatGPT trends, with recent changes remaining within historical norms.
  • Researchers flag a recent split between outcomes for new graduates and older young workers, which could signal concentrated early‑career effects or a cooling job market.
  • The team will monitor labor indicators monthly, emphasizing that transformative impacts from new technologies typically appear over longer adoption cycles.
  • Evidence is heterogeneous, with firms such as Dropbox and Duolingo citing AI in layoffs and a Stanford study finding weaker entry‑level hiring in AI‑exposed roles, while MIT reports most AI pilots are not yet delivering returns.