Diskussionspapiere extern
Osea Giuntella, Johannes König, Luca Stella
Bonn:
Institute of Labor Economics (IZA),
2023,
(IZA DP No. 16485)
This study explores the relationship between artificial intelligence (AI) and workers’ wellbeing 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.
Themen: Arbeit und Beschäftigung
Keywords: artificial intelligence, future of work, well-being, mental health
Externer Link:
https://docs.iza.org/dp16485.pdf