Research on the Mechanism and Path of Empowering Rural Industrial Chain and Supply Chain Resilience with Generative Artificial Intelligence

At the moment when the digital economy is booming, artificial intelligence technology is infiltrating into various fields at an unprecedented speed. Among them, generative artificial intelligence, as a bright new star in the frontier field of artificial intelligence, has opened up new development opportunities for many industries with its excellent innovation ability and efficient data processing efficiency. This paper focuses on the key theme of how to strengthen rural industry and supply chain resilience with the help of generative artificial intelligence, and carries out in-depth and comprehensive analysis. Firstly, the underlying principle and core technology of generative artificial intelligence are explained in detail, the concepts of industrial chain and supply chain elasticity are defined accurately, and their measurement scales are clear. Then, the empowerment mechanism of this technology in terms of demand perception and prediction, optimal allocation of resources, risk early warning and response, innovation drive and cooperation is deeply explored. At the same time, the practical application of generative artificial intelligence in rural industrial chain and supply chain is revealed, and practical improvement paths are put forward from the dimensions of technological innovation, infrastructure construction, professional talent cultivation and policy support, so as to provide solid theoretical support and valuable practical guidance for rural economy to move towards high-quality development.