Research on the Impact of Artificial Intelligence on Enterprise Resilience

This paper uses A-share listed companies in Shanghai and Shenzhen from 2014 to 2023 as the research sample to empirically examine the impact effect of artificial intelligence on enterprise resilience, its underlying mechanisms, endogeneity tests, and heterogeneity analysis. The study finds that artificial intelligence has a significant inhibitory effect on enterprise resilience, and this core conclusion remains valid after endogeneity and robustness tests. The mechanism test results indicate that artificial intelligence inhibits enterprise resilience through three pathways: increasing the level of financing constraints, enhancing the intensity of R&D investment, and raising the management expense ratio. The heterogeneity test results further reveal the differences in its inhibitory effects, showing that artificial intelligence has a more pronounced inhibitory impact on enterprise resilience in the eastern region, in non-manufacturing industries, and among heavily polluting enterprises. This paper breaks through the current mainstream research’s singular optimistic perspective on the application of artificial intelligence, revealing its potential risks to the sustainable development of enterprises, and provides empirical evidence and decision-making references for enterprises to rationally promote digital transformation.