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) (2026) Artificial Intelligence Technologies and Employee Pay in the United Kingdom: Evidence From Matched Employer–Employee Data. British Journal of Industrial Relations, 64 (1). pp. 116-129. ISSN: 0007-1080

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Item Type: Article
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© 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: artificial intelligence, employee voice, machine learning, pay
Dates:
  • Accepted: 14 October 2025
  • Published (online): 30 October 2025
  • Published: March 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Work and Employment Relation Division (Leeds)
Funding Information:
Funder
Grant number
ESRC (Economic and Social Research Council)
ES/S012532/1
Date Deposited: 21 Oct 2025 11:25
Last Modified: 04 Mar 2026 14:52
Status: Published
Publisher: Wiley
Identification Number: 10.1111/bjir.70019
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 8: Decent Work and Economic Growth
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