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Economic impact of AI agents on white-collar work

A public TESRAC example report exploring how AI agents may reshape white-collar tasks, productivity, hiring, and organizational design.

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Public Fallback Report

Economic impact of AI agents on white-collar work

A public TESRAC example report exploring how AI agents may reshape white-collar tasks, productivity, hiring, and organizational design.

Public fallback brief

  • AI agents are most likely to change task composition before they fully replace roles.
  • Productivity gains depend on workflow redesign, data access, supervision, and trust.
  • Labor-market effects will vary by occupation, regulation, and firm adoption speed.

Caveats

  • Forecasts are uncertain and often confound current copilots with future autonomous systems.
  • Measured productivity gains may not translate evenly into wages or employment.

Source quality and freshness

Use labor economics research, adoption surveys, company case studies, and technology capability benchmarks.

Refresh because adoption and model capability are changing rapidly.

Example next steps

  1. Break roles into task portfolios.
  1. Identify tasks that can be delegated, accelerated, or audited by agents.
  1. Plan reskilling and governance alongside automation.