Contemporary Finance & Economics ›› 2026, Vol. 0 ›› Issue (6): 86-96.

• Intelligent Economy • Previous Articles     Next Articles

How Generative AI Empowers the Development of Enterprise Supply Chain Finance

Ding Nan-nan1, Ji Kan2   

  1. 1. Tianjin University of Finance and Economics, Tianjin 300222;
    2. Hainan Tropical Ocean University, Sanya 572022, China
  • Received:2025-12-01 Revised:2026-05-28 Online:2026-06-15 Published:2026-06-17

Abstract: With the deep integration of generative artificial intelligence into various fields of social and economic life, social and economic life is constantly changing and innovating. So, how can we use generative artificial intelligence to break through the bottleneck of supply chain finance development and help promote the development of the real economy? Taking Chinese A-share listed companies from 2010 to 2024 as research samples, this study examines the impact of applying generative artificial intelligence on the development of supply chain finance. The results indicate that the application of generative artificial intelligence in enterprises can significantly promote the development of supply chain finance. The mechanism verification shows that generative artificial intelligence can maintain supply chain security, improve operational efficiency, and reduce information asymmetry between financial institutions and enterprises. Therefore, the application of generative artificial intelligence by enterprises can promote the development of supply chain finance. Further analysis shows that enterprises belonging to non strategic emerging industries and those in high uncertainty environments can better promote the development of supply chain finance by applying generative artificial intelligence. Therefore, enterprises should fully utilize generative artificial intelligence to promote the integration of their business with supply chain finance. The government should strongly support the development of generative artificial intelligence in enterprises and fully leverage its leading role in optimizing industrial and supply chains.

Key words: generative AI, supply chain finance, supply chain resilience, information asymmetry

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