Artificial intelligence technologies and employee pay in the United Kingdom: evidence from matched employer-employee data

Schulz, F., Valizade, D. orcid.org/0000-0003-3005-2277, Stuart, M. orcid.org/0000-0003-4962-6496 et al. (2 more authors) (Accepted: 2025) Artificial intelligence technologies and employee pay in the United Kingdom: evidence from matched employer-employee data. British Journal of Industrial Relations. ISSN: 0007-1080 (In Press)

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Item Type: Article
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This is an author produced version of an article accepted for publication in British Journal of Industrial Relations, made available under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 14 October 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Work and Employment Relation Division (Leeds)
Funding Information:
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Grant number
ESRC (Economic and Social Research Council)
ES/S012532/1
Date Deposited: 21 Oct 2025 11:25
Last Modified: 21 Oct 2025 11:25
Status: In Press
Publisher: Wiley
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 8: Decent Work and Economic Growth
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