Abstract: Abstract：The construction and improvement of digital innovation ecosystems provide huge opportunities for artificial intelligence (AI) applications to enhance industrial chain resilience. Based on provincial panel data from 2008 to 2021, this study employs a dual fixed-effects model, a mediation effect model, and a moderation effect model to empirically examine the impact of AI applications on industrial chain resilience driven by digital innovation ecosystems. The findings are as follows:(1) AI applications positively influence industrial chain resilience, and this conclusion remains robust after a series of robustness tests and addressing endogeneity issues.(2) Driven by digital innovation ecosystems, digital innovation bodies and digital innovation platforms partially mediate the impact of AI applications on industrial chain resilience, while the digital ecological environment plays a moderating role in this relationship.(3) The heterogeneity analysis reveals that the impact of AI applications on industrial chain resilience is more pronounced in central and western regions, areas with high-level digital innovation ecosystems, and regions with lower levels of advanced industrial structures. This study not only unveils the intrinsic mechanisms through which AI enhances industrial chain resilience from a novel research perspective, providing empirical evidence for strengthening chain resilience amidst global transformations, but also advances quantitative research on digital innovation ecosystems, enriching the existing theoretical content.

Key words: artificial intelligence, industry chain resilience, digital innovation bodies, digital innovation platforms, digital ecological environment