This study explores the relationship between artificial intelligence (AI) and workers’ well-being and health using longitudinal survey data from Germany (2000–2020). Using a measure of occupational exposure to AI, we explore an event study design and a difference-in-differences approach to compare AI-exposed and non-exposed workers. Before AI became widely available, there is no evidence of differential pre­trends in workers’ well-being and health. We find no evidence of a sizeable negative impact of AI on workers’ well-being and mental health. If anything, there is evidence of an improvement in health status and health satisfaction, which may be explained by the decline in job physical intensity. Overall, our results are consistent with the lack of negative effects of AI on the labor markets.

Artificial intelligence and the wellbeing of workers / O. Giuntella, J. Konig, L. Stella. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 15:1(2025 Jun 23), pp. 20087.1-20087.13. [10.1038/s41598-025-98241-3]

Artificial intelligence and the wellbeing of workers

L. Stella
Ultimo
2025

Abstract

This study explores the relationship between artificial intelligence (AI) and workers’ well-being and health using longitudinal survey data from Germany (2000–2020). Using a measure of occupational exposure to AI, we explore an event study design and a difference-in-differences approach to compare AI-exposed and non-exposed workers. Before AI became widely available, there is no evidence of differential pre­trends in workers’ well-being and health. We find no evidence of a sizeable negative impact of AI on workers’ well-being and mental health. If anything, there is evidence of an improvement in health status and health satisfaction, which may be explained by the decline in job physical intensity. Overall, our results are consistent with the lack of negative effects of AI on the labor markets.
Artificial intelligence; Future of work; Physical and mental health; Well-being
Settore ECON-02/A - Politica economica
   Robotics and AI for Sewer Pipe Inspection and Maintenance
   PIPEON
   European Commission
   Horizon Europe Framework Programme
   101189847
23-giu-2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1174990
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