Can Artificial Intelligence Enhance Corporate Financial Risk-Taking Capacity? A Perspective on Innovation Resilience and the Environment

In the current global competition, innovation-driven strategies are considered crucial to enhance corporate productivity. Financial risk-taking serves as the baseline for corporate survival. This study scrutinizes the consequences of artificial intelligence on corporate financial risk-taking capacity and elucidates the pathways and mechanisms involved. Using data on local publicly traded entities for the period spanning 2015–2024, this study employs text mining methods and fixed-effects regression analysis to investigate the influence of artificial intelligence on corporate financial risk-taking capacity. The outcomes suggest that AI advances corporate financial risk-taking capacity; specifically, it improves corporate innovation and strengthens innovation resilience (i.e., stability dimension). Furthermore, environmental uncertainty suppresses the constructive influence of AI on monetary risk-taking, whereas high-level environmental information disclosure exerts a positive impact. This study uncovers the underlying processes through which machine learning boosts business financial risk-taking capacity and provides theoretical and practical insights for balancing innovation and risk during corporate digital transformation. In summary, this study makes three key contributions: First, it develops a novel theoretical chain linking AI adoption to enhanced corporate financial risk-taking through the mediating mechanism of innovation resilience. Second, it reveals that the positive effect of AI is attenuated by environmental uncertainty but amplified by environmental information disclosure, integrating external factors into the framework. These findings offer strategic insights for managers and policymakers in the digital era.