Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/330298 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
GLO Discussion Paper No. 1683
Verlag: 
Global Labor Organization (GLO), Essen
Zusammenfassung: 
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.
Schlagwörter: 
Artificial Intelligence
Automation
Technological Change
Innovation
Technology Adoption
Firm Expectations
Belief Updating
Expertise
Labor Demand
White Collar Jobs
Training
JEL: 
J23
J24
D22
D84
O33
C93
Dokumentart: 
Working Paper

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