Arbeitspapier
Artificial intelligence and workers' well-being
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.
- Sprache
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Englisch
- Erschienen in
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Series: SOEPpapers on Multidisciplinary Panel Data Research ; No. 1194
- Klassifikation
-
Wirtschaft
Health: General
Safety; Job Satisfaction; Related Public Policy
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
- Thema
-
Artificial Intelligence
Future of Work
Well-being
Mental Health
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Giuntella, Osea
König, Johannes
Stella, Luca
- Ereignis
-
Veröffentlichung
- (wer)
-
Deutsches Institut für Wirtschaftsforschung (DIW)
- (wo)
-
Berlin
- (wann)
-
2023
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Giuntella, Osea
- König, Johannes
- Stella, Luca
- Deutsches Institut für Wirtschaftsforschung (DIW)
Entstanden
- 2023