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Artificial intelligence and firm resilience

  • Oussama El Moujahid
  • , Samuele Murtinu
  • , Naciye Sekerci*
  • *Corresponding author for this work
  • KU Leuven
  • Lund University

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We investigate the role of Artificial Intelligence (AI) on firms’ resilience to the COVID-19 crisis. We show that firms that adopted AI technology before the crisis (AI-adopters) exhibit higher stock returns during the peak of the crisis than non-AI-adopters. This cross-sectional finding also holds in a difference-in-differences setting. Having AI patents is also associated with higher stock returns regardless of the firm adopting AI. We further provide evidence that heterogeneity in AI adoption matters; specifically, our main finding is driven primarily by machine learning. Moreover, AI-adopters exhibit lower stock volatility during the peak of the crisis compared to non-AI-adopters. The resilience that AI adoption brings is also reflected in other firm indicators, such as operating performance and firm valuation. Finally, we find that neither firm ownership nor firm size seems to moderate the relationship between AI adoption and firm stock returns.

Original languageEnglish
Article number101542
JournalJournal of Financial Stability
Volume84
Early online date20 Apr 2026
DOIs
Publication statusPublished - Jun 2026

Bibliographical note

Publisher Copyright:
© 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Keywords

  • Artificial intelligence
  • COVID-19
  • Patents
  • Performance
  • Stock market

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