Scandinavian Working Papers in Business Administration

Working Papers,
Örebro University, School of Business

No 2024:5: Artificial Intelligence and Worker Stress: Evidence from Germany

Michael Koch () and Magnus Lodefalk ()
Additional contact information
Michael Koch: Aarhus University, Postal: Aarhus University, Nordre Ringgade 1, 8000 Aarhus
Magnus Lodefalk: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden

Abstract: We use individual survey data providing detailed information on stress, technology adoption, and work, worker, and employer characteristics, in combination with recent measures of AI and robot exposure, to investigate how new technologies affect worker stress. We find a persistent negative relationship, suggesting that AI and robots could reduce the stress level of workers. We furthermore provide evidence on potential mechanisms to explain our findings. Overall, the results provide suggestive evidence of modern technologies changing the way we perform our work in a way that reduces stress and work pressure.

Keywords: Artificial intelligence technologies; Automation; Task content; Skills; Stress

JEL-codes: I31; J24; J28; J44; N34; O33

Language: English

38 pages, June 14, 2024

Full text files 

wp-5-2024.pdf PDF-file Full text

Download statistics

Questions (including download problems) about the papers in this series should be directed to ()
Report other problems with accessing this service to Sune Karlsson ().

RePEc:hhs:oruesi:2024_005This page generated on 2024-11-09 04:36:10.