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Artificial Intelligence and Workers’ Well-being

SOEPpapers 1194, 43 S.

Osea Giuntella, Johannes König, Luca Stella

2023

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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.

Johannes König

Wissenschaftlicher Mitarbeiter in der Infrastruktureinrichtung Sozio-oekonomisches Panel



JEL-Classification: I10;J28;O30
Keywords: Artificial Intelligence, Future of Work, Well-being, Mental Health
Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/279404

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