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Yale Sees No AI Job Shock as Senate Report Warns of Massive Losses

The clash stems from real-world employment data versus forecasts built from ChatGPT judgments about task automation.

Overview

  • Yale’s Budget Lab reports no discernible economy-wide disruption to U.S. employment since ChatGPT’s 2022 debut, with sector shifts resembling pre-AI trends and only limited signs of strain for early-career workers.
  • Democratic staff on the Senate HELP Committee project nearly 100 million U.S. jobs could be replaced within a decade, citing high-risk roles such as fast-food and counter workers (89%), accountants (64%), truck drivers (47%) and parts of nursing (40%).
  • The Senate report’s method draws on ChatGPT estimates of task automatability across hundreds of occupations, a choice critics say overstates losses by confusing task automation with elimination of entire jobs.
  • OpenAI’s GPDval study tested 44 professions and found frontier models often beat humans on specific tasks—such as counter and rental clerks—while acknowledging that jobs encompass far more than the discrete tasks measured.
  • Analysts urge better cross-platform usage data and ongoing monitoring, noting that today’s hiring hesitation reflects economic uncertainty, though a recession could accelerate AI-enabled displacement.