Artificial Intelligence and Workers’ Well-being

Osea Giuntella, Johannes König and Luca Stella

No 1194, SOEPpapers on Multidisciplinary Panel Data Research from DIW Berlin, The German Socio-Economic Panel (SOEP)

Abstract: This study explores the relationship between artificial intelligence (AI) and workers’ well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and 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 pre-trends in workers’ well-being and concerns about their economic futures. Since 2015, however, with the increasing adoption of AI in firms across Germany, we find that AI-exposed workers have become less satisfied with their life and job and more concerned about job security and their personal economic situation. However, we find no evidence of a significant impact of AI on workers’ mental health, anxiety, or depression.

Keywords: Artificial Intelligence; Future of Work; Well-being; Mental Health (search for similar items in EconPapers)
JEL-codes: I10 J28 O30 (search for similar items in EconPapers)
Pages: 43 p.
Date: 2023
New Economics Papers: this item is included in nep-ain, nep-eur, nep-hap, nep-hea, nep-hrm, nep-lma and nep-tid
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https://www.diw.de/documents/publikationen/73/diw_01.c.882807.de/diw_sp1194.pdf (application/pdf)

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Working Paper: Artificial Intelligence and Workers' Well-Being (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:diw:diwsop:diw_sp1194

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