Generative AI and Job Satisfaction: Evidence from Glassdoor Employee Reviews

50 Pages Posted: 7 Oct 2024 Last revised: 11 Dec 2024

See all articles by Khai Chiong

Khai Chiong

University of Texas at Dallas - Naveen Jindal School of Management

Ying Xie

University of Texas at Dallas

Date Written: October 03, 2024

Abstract

Generative AI has transformed the workplace by enhancing productivity, yet it is unclear how it will impact workplace well-being and satisfaction. Using employee reviews from Glassdoor, we examine the impact of generative AI on job satisfaction. We match job titles and reviews to an occupational AI exposure index and leverage this variation as treatment intensity, along with the unanticipated introduction of ChatGPT, in a continuous treatment Difference-in-Differences design. We find that the introduction of generative AI has a positive overall effect on job satisfaction, with the greatest gains in occupations with moderate AI exposure, while occupations with either low or high exposure benefit less. Extracting sentiments from the reviews, we find that these effects are driven by negative sentiments on job security among high-exposure occupations and positive sentiments on compensation among moderate-exposure occupations. In contrast, work-life balance and career opportunities show little change. We also find that shorter-tenure employees in senior positions benefit the most from this technology.

Keywords: Generative AI, ChatGPT, Glassdoor, Reviews, Continuous Treatment

Suggested Citation

Chiong, Khai and Xie, Ying, Generative AI and Job Satisfaction: Evidence from Glassdoor Employee Reviews (October 03, 2024). Available at SSRN: https://ssrn.com/abstract=4976340 or http://dx.doi.org/10.2139/ssrn.4976340

Khai Chiong (Contact Author)

University of Texas at Dallas - Naveen Jindal School of Management ( email )

P.O. Box 830688
Richardson, TX 75083-0688
United States

Ying Xie

University of Texas at Dallas ( email )

2601 North Floyd Road
Richardson, TX 75083
United States

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