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Beliefs about Bots: How Employers Plan for AI in White-Collar Work

Author

Listed:
  • Brüll, Eduard
  • Mäurer, Samuel
  • Rostam-Afschar, Davud

Abstract

We provide experimental evidence on how employers adjust expectations to automation risk in high-skill, white-collar work. Using a randomized information intervention among tax advisors in Germany, we show that firms systematically underestimate automatability. Information provision raises risk perceptions, especially for routine-intensive roles. Yet, it leaves short-run hiring plans unchanged. Instead, updated beliefs increase productivity and financial expectations with minor wage adjustments, implying within-firm inequality like limited rent-sharing. Employers also anticipate new tasks in legal tech, compliance, and AI interaction, and report higher training and adoption intentions.

Suggested Citation

  • Brüll, Eduard & Mäurer, Samuel & Rostam-Afschar, Davud, 2025. "Beliefs about Bots: How Employers Plan for AI in White-Collar Work," GLO Discussion Paper Series 1683, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1683
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    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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