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New Yale–Brookings Study Finds Little U.S. Job Disruption From Generative AI So Far

Researchers say it is too soon to judge long‑term effects, urging caution about short‑term signals.

Overview

  • Analyzing 33 months since ChatGPT’s launch, the study finds the workforce shares in high, medium, and low AI‑exposure jobs largely unchanged and no rise in AI exposure among the unemployed.
  • Labor‑market churn since late 2022 tracks the pace seen during the personal‑computer and early internet eras, indicating no faster economy‑wide reshaping to date.
  • Targeted strains persist, as Stanford researchers report about a 13% drop in employment for 22‑ to 25‑year‑olds in the most AI‑exposed occupations.
  • Executives describe localized cuts and warn of bigger shifts, including Salesforce’s Marc Benioff citing thousands of customer‑support reductions and Anthropic’s CEO forecasting steep entry‑level losses.
  • Context from policymakers and projections points to other forces and gradual change, with Fed Chair Jerome Powell saying AI is not the main driver of current trends and Labor Department outlooks showing decade‑long declines that are not solely AI‑driven.