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Beliefs about bots: How employers plan for AI in white-collar work
Brüll, Eduard
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Mäurer, Samuel
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Rostam-Afschar, Davud
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URN:
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urn:nbn:de:bsz:180-madoc-714754
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Document Type:
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Working paper
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Year of publication:
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2025
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The title of a journal, publication series:
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ZEW Discussion Papers
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Volume:
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25-057
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Place of publication:
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Mannheim
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Publication language:
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English
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Institution:
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Business School > Area Accounting & Taxation (Rostam-Afschar 2021-)
Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
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MADOC publication series:
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Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
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Subject:
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330 Economics
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Classification:
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JEL:
J23 , J24 , D22 , D84 , O33 , C93,
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Keywords (English):
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artificial intelligence , automation , technological change , innovation , technology adoption , firm expectations , belief updating , expertise , labor demand , white collar jobs , training
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
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