关键词: 人工智能, 供应链风险, 溢出效应, 风险传染效应

Abstract: Against the backdrop of growing uncertainty in global supply chains, artificial intelligence has opened up new pathways for enterprises to proactively identify, assess, and respond to supply chain risks. Based on the data from the listed companies in China from 2007 to 2023, this paper constructs a two-way fixed-effects model to empirically examine the impact of AI on corporate supply chain risks. The findings are as follows. First, AI significantly suppresses overall supply chain risks, as well as external and internal risks. Second, the mechanism tests indicate that supply chain efficiency enhancement, supply chain diversification breakthroughs, improvement in corporate transparency, and deepening of supply chain cooperation serve as the most important channels through which artificial intelligence suppresses corporate supply chain risks. Further research finds that AI effectively reduces the supply chain risk levels of upstream-related and downstream-related enterprises through technology spillover effects and risk contagion effects. The conclusions of this study provide important policy insights for governments in promoting the deep integration of AI with the real economy and building a self-reliant and controllable modern supply chain system.

Key words: Artificial Intelligence, Supply Chain Risk, Supply Chain Spillover Effect, Risk Contagion Effect