Boost or burden? The nonlinear impact of artificial intelligence on innovation resilience within a dynamic capabilities framework: evidence from Chinese listed companies

This research explores the effect of artificial intelligence on innovation resilience. This paper uses Chinese A-share listed companies from 2010 to 2024 as its research sample and employs a two-way fixed-effects panel regression model to empirically test the research hypotheses. The results show that AI and innovation resilience exhibit an inverted U-shaped relationship, where the impact initially increases before diminishing. The mediating mechanism indicates that AI affects innovation resilience through corporate learning and absorption capacity, coordination and integration capacity, and technological innovation capacity. The result of the moderating mechanism indicates that the association is positively moderated by environmental dynamism. Findings from the heterogeneity analysis indicate that the effect of AI on innovation resilience is more notable in state-owned companies, high-tech companies, and large-scale companies. Further analysis reveals that enhanced innovation resilience contributes to promoting high-quality corporate development. These findings provide theoretical insights and policy recommendations for advancing AI adoption and strengthening corporate innovation resilience.