Artificial intelligence and the wellbeing of workers
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-98241-3 |
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| author | Osea Giuntella Johannes Konig Luca Stella |
| author_facet | Osea Giuntella Johannes Konig Luca Stella |
| author_sort | Osea Giuntella |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e0bd4249d53d4f33a7fe10dd3a1165f2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e0bd4249d53d4f33a7fe10dd3a1165f22025-08-20T03:27:09ZengNature PortfolioScientific Reports2045-23222025-06-0115111310.1038/s41598-025-98241-3Artificial intelligence and the wellbeing of workersOsea Giuntella0Johannes Konig1Luca Stella2Department of Economics, University of Pittsburgh and NBERGerman Ministry of FinanceUniversity of MilanAbstract 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.https://doi.org/10.1038/s41598-025-98241-3Artificial intelligenceFuture of workWell-beingPhysical and mental health |
| spellingShingle | Osea Giuntella Johannes Konig Luca Stella Artificial intelligence and the wellbeing of workers Scientific Reports Artificial intelligence Future of work Well-being Physical and mental health |
| title | Artificial intelligence and the wellbeing of workers |
| title_full | Artificial intelligence and the wellbeing of workers |
| title_fullStr | Artificial intelligence and the wellbeing of workers |
| title_full_unstemmed | Artificial intelligence and the wellbeing of workers |
| title_short | Artificial intelligence and the wellbeing of workers |
| title_sort | artificial intelligence and the wellbeing of workers |
| topic | Artificial intelligence Future of work Well-being Physical and mental health |
| url | https://doi.org/10.1038/s41598-025-98241-3 |
| work_keys_str_mv | AT oseagiuntella artificialintelligenceandthewellbeingofworkers AT johanneskonig artificialintelligenceandthewellbeingofworkers AT lucastella artificialintelligenceandthewellbeingofworkers |