Ho, LinhGan, ChristopherJin, ShanLe, Bryan2022-07-102022-07-102022-06-232022-06-232022-06-06https://hdl.handle.net/10182/15156This study estimates and compares the impacts of the COVID-19 pandemic on the stock performance of AI-adopted and conventional listed firms worldwide. Using the single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data, the results show that the negative impact of COVID-19 on the AI stock market was less severe than the conventional stock market in the first month of the pandemic. The performance of the AI stocks recovered quicker than the conventional stocks as the pandemic went into the third month. The results suggest that the AI stocks were more resilient than the conventional stocks when the financial market was induced by COVID-19. The deployment of AI in firms serves as a resilient and crucial driver for sustainable performance in challenging environments.Conference Contribution - unpublished2022-07-07ANZSRC::4602 Artificial intelligenceANZSRC::380107 Financial economics