Abstract:As artificial intelligence technology accelerates its penetration into the real economy, how enterprises leverage AI to improve their financing conditions and overcome access constraints in supply chain finance has become a critical issue in the innovative development of supply chain finance under the backdrop of digital-real integration. Using Chinese A-share listed companies from 2010 to 2024 as the research sample, this study empirically examines the impact of AI on supply chain finance levels and its transmission mechanisms. The findings reveal that AI significantly enhances supply chain finance levels, a conclusion that remains valid after a series of robustness tests. Heterogeneity analysis further indicates that the effect of AI on improving supply chain finance levels is asymmetric, with limited impact in state-owned enterprises, regulated industries, and low-marketization regions, while being more pronounced in non-state-owned enterprises, competitive industries, and high-marketization regions. Mechanism tests demonstrate that AI possesses information transparency effects, supply chain efficiency improvement effects, and supply chain collaborative innovation effects, enabling it to enhance supply chain finance levels through three channels: increasing corporate information transparency, improving supply chain operational efficiency, and fostering supply chain collaborative innovation. This research extends the explanation of supply chain financing accessibility from the service capabilities of financial institutions to the technological application capabilities of enterprises, offering practical insights for shifting supply chain finance from supply-side dominance to a supply-demand collaborative development model.