Artificial Intelligence and Worker Stress: Evidence from Germany

Michael Koch () and Magnus Lodefalk
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Michael Koch: Aarhus University, Postal: Aarhus University, Nordre Ringgade 1, 8000 Aarhus, https://www.au.dk/en/mkoch@econ.au.dk

No 2024:5, Working Papers from Örebro University, School of Business

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 (search for similar items in EconPapers)
JEL-codes: I31 J24 J28 J44 N34 O33 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2024-06-14
New Economics Papers: this item is included in nep-ain, nep-eur, nep-hrm and nep-tid
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Working Paper: Artificial Intelligence and Worker Stress: Evidence from Germany (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2024_005

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