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Artificial Intelligence Technologies and Employee Pay in the United Kingdom: Evidence From Matched Employer–Employee Data

Author

Listed:
  • Felix Schulz
  • Danat Valizade
  • Mark Stuart
  • Magdalena Soffia
  • Jolene Skordis

Abstract

This paper examines the impact of artificial intelligence (AI)‐enabled technologies on employee pay in the United Kingdom. We use matched nationally representative data from the Employers’ Digital Practices at Work Survey and an original survey of 6000 UK workers and apply machine learning techniques to uncover relationships between AI technology and employee pay across qualification and occupation skill groups. We find that lower skilled workers were the primary beneficiaries of AI, but this effect was contingent on the extent of worker interaction with AI. Further analysis shows that employee involvement in pay determination facilitates a more equitable distribution of AI‐related pay benefits by enabling a significant uplift in pay among lower qualified workers. Overall, while the implications of AI for pay outcomes are broadly positive, the study highlights the need to strengthen workplace voice mechanisms to ensure a more equitable distribution of benefits from the growing use of AI.

Suggested Citation

  • Felix Schulz & Danat Valizade & Mark Stuart & Magdalena Soffia & Jolene Skordis, 2026. "Artificial Intelligence Technologies and Employee Pay in the United Kingdom: Evidence From Matched Employer–Employee Data," British Journal of Industrial Relations, London School of Economics, vol. 64(1), pages 116-129, March.
    • Handle: RePEc:bla:brjirl:v:64:y:2026:i:1:p:116-129
    DOI: 10.1111/bjir.70019
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    1. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Boris Hirsch & Philipp Lentge & Claus Schnabel, 2022. "Uncovered workers in plants covered by collective bargaining: Who are they and how do they fare?," British Journal of Industrial Relations, London School of Economics, vol. 60(4), pages 929-945, December.
    4. Wouter Zwysen & Jan Drahokoupil, 2024. "Collective bargaining and power: Wage premium of collective agreements in Europe 2002–2018," British Journal of Industrial Relations, London School of Economics, vol. 62(2), pages 335-357, June.
    5. Sean O’Brady & Virginia Doellgast, 2021. "Collective Voice and Worker Well‐being: Union Influence on Performance Monitoring and Emotional Exhaustion in Call Centers," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 60(3), pages 307-337, July.
    6. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    7. Andrea Garnero & François Rycx & Isabelle Terraz, 2020. "Productivity and Wage Effects of Firm‐Level Collective Agreements: Evidence from Belgian Linked Panel Data," British Journal of Industrial Relations, London School of Economics, vol. 58(4), pages 936-972, December.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    9. Peter Turnbull, 2003. "What Do Unions Do Now?," Journal of Labor Research, Transaction Publishers, vol. 24(3), pages 491-527, July.
    10. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    11. Andreas Kornelakis & Vassil Kirov & Patrick Thill, 2022. "The digitalisation of service work: A comparative study of restructuring of the banking sector in the United Kingdom and Luxembourg," European Journal of Industrial Relations, , vol. 28(3), pages 253-272, September.
    12. Genz, Sabrina & Gregory, Terry & Janser, Markus & Lehmer, Florian & Matthes, Britta, 2021. "How Do Workers Adjust When Firms Adopt New Technologies?," IZA Discussion Papers 14626, IZA Network @ LISER.
    13. Petri Böckerman & Alex Bryson & Pekka Ilmakunnas, 2013. "Does high involvement management lead to higher pay?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 861-885, October.
    14. Machin, Stephen, 1997. "The decline of labour market institutions and the rise in wage inequality in Britain," European Economic Review, Elsevier, vol. 41(3-5), pages 647-657, April.
    15. Yao Yao, 2020. "Uberizing the Legal Profession? Lawyer Autonomy and Status in the Digital Legal Market," British Journal of Industrial Relations, London School of Economics, vol. 58(3), pages 483-506, September.
    16. Mick Marchington & Jane Suter, 2013. "Where Informality Really Matters: Patterns of Employee Involvement and Participation (EIP) in a Non-Union Firm," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52, pages 284-313, January.
    17. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    18. Zachary Parolin & Tom VanHeuvelen, 2023. "The Cumulative Advantage of a Unionized Career for Lifetime Earnings," ILR Review, Cornell University, ILR School, vol. 76(2), pages 434-460, March.
    19. Stephany, Fabian & Teutloff, Ole, 2024. "What is the price of a skill? The value of complementarity," Research Policy, Elsevier, vol. 53(1).
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    Cited by:

    1. Bryson, Alex & Kauhanen, Antti & Rouvinen, Petri, 2026. "AI and Worker Well-Being: Evidence from a Nationally Representative Study," IZA Discussion Papers 18540, IZA Network @ LISER.

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