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Stanford Study Links Generative AI to Steep Entry-Level Job Losses; UK Unions Press Worker-First Plan

Payroll data link steep early‑career losses to AI exposure, prompting UK union calls for retraining with funding conditions attached.

Overview

  • Using ADP payroll records through July 2025, Stanford researchers report a 13% employment drop since 2022 for 22–25‑year‑olds in the most AI‑exposed jobs.
  • Entry‑level roles in software engineering and customer service show the sharpest declines, with roughly 20% fewer young workers over the period, even as older workers in those roles grew.
  • Overall employment remains resilient, wages show little systematic change by age or exposure, and younger gains appear stronger in less‑exposed fields such as health aide roles.
  • The authors say the patterns are consistent with an AI effect after testing alternative explanations, though they stop short of claiming definitive causation.
  • Responding to rising public concern in Britain, the TUC unveiled a worker‑first AI strategy seeking retraining, worker representation and conditions on public AI funding to prevent deskilling.