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felix Schultz

Felix Schulz

Postdoctoral fellow

felix Schultz

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

Author

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

Summary, in English

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.

Department/s

  • LUCSUS (Lund University Centre for Sustainability Studies)

Publishing year

2025

Language

English

Publication/Series

British Journal of Industrial Relations

Document type

Journal article

Publisher

John Wiley & Sons Inc.

Topic

  • Work Sciences

Status

Published

ISBN/ISSN/Other

  • ISSN: 1467-8543