The Social Risks of Generative AI

Speaker：Rex Wang Renjie, Associate Professor, Vrije Universiteit Amsterdam

Host：Dai Yun, Associate Professor, Lingnan College

Time and Date：12:30, April 15, 2026 (Wednesday)

Venue：Wang Dao Han Conference Room (101), Lingnan Hall

Language：English + Chinese

Abstract：

This paper shows that the equity market prices the novel social risks associated with generative AI. We exploit the release of ChatGPT as an information shock that updated investor beliefs about AI-related tail risks. Using pre-event ESG scores as proxies for firms' social risk management, we show that, controlling for AI productivity exposure, low-ESG firms underperform high-ESG firms by 4 percentage points over the two weeks following the release. The effect is concentrated in the Social pillar, particularly data privacy and security. Increases in option-implied downside risk indicate that changes in discount rates are the channel. A low-minus-high ESG portfolio of AI-exposed firms earns significant alphas during 2023–2024, in line with investors demanding compensation for bearing AI-related downside risks. Our findings are consistent with a tail-risk model in which social risks of AI are priced through discount rates.

Profile:

Rex Wang Renjie is an associate professor at the department of Finance of Vrije Universiteit Amsterdam. He holds a PhD from Erasmus University Rotterdam (2019). His interest lies in behavioral finance, corporate finance and governance, labor and finance. He has published papers at finance top journals such as Journal of Finance, Journal of Financial and Quantitative Analysis, and Review of Finance.