This study constructs a theoretical model of the relationship between AI capability, innovation agility, and innovation resilience. The positive significance of AI applications has been widely recognized, but the research results of this article indicate that AI capabilities have an inverted U-shaped impact on the innovation resilience of enterprises, which first promotes and then inhibits; There is also an inverted U-shaped relationship between AI capability and innovation agility, and innovation agility plays a mediating role between AI capability and innovation resilience. In addition, environmental turbulence positively moderates the impact of innovation agility on innovation resilience. The research results confirm the "double-edged sword" effect of AI capabilities, opening up new research perspectives for enterprise innovation management in the AI era, and providing management insights for enterprises to effectively utilize AI technology to achieve sustainable innovation development and avoid falling into the "digital trap".

The findings of this study offer three major contributions: Firstly, this paper combines AI with innovation research from a research perspective, treating AI capabilities as an important organizational capability in the digital age. It constructs an analytical framework of "AI capabilities - innovation agility - innovation resilience" and confirms the role path of AI and agility as driving forces in enhancing enterprise innovation resilience. That is, a set of key organizational strategic agility processes enabled by "digital intelligence" creates strategic resilience in innovation activities with a proactive and opportunity-centered attitude. Furthermore, this paper explores the non-linear interaction between AI capabilities and innovation agility and resilience, revealing the "double-edged sword" effect and "dark side" of AI capabilities, thereby breaking through the limitation of existing research that mainly focuses on the positive significance of AI applications.

Secondly, this paper contributes to the research on the antecedents of enterprise innovation resilience. Although the concept of innovation resilience has attracted attention in recent years, the research is rather scattered and lacks in-depth exploration of the role played by AI. Therefore, the concept of AI capability is introduced in this paper, and by revealing the role of AI capability in promoting enterprise innovation resilience and its internal mechanism, a new research perspective is opened for the discussion on how to improve enterprise resilience, and at the same time, it also enriches the existing research on improving innovation resilience.

Finally, based on the context of digital development and market transformation of Chinese enterprises, this paper takes environmental turbulence as a moderating variable and effectively reveals the contingency effect of enterprises implementing agile strategies to resist the challenges of high-turbulence environments. By closely integrating the dynamic capability factors at the organizational level with the characteristics of the external environment, it emphasizes that in highly turbulent environments, enterprises should take enhancing agility as the main development strategy. From this perspective, this study not only highlights the significant role of AI capabilities and organizational agility in enhancing enterprise resilience, but also recognizes that the effectiveness of these dynamic capabilities may vary depending on the environment and context in which they are applied. This response addresses the call from scholars in the past for future research to explore how digitalization and organizational agility interact to influence organizational resilience in different organizational environments and market scenarios.