Abstract: In the context of the digital intelligence era, examining the empowerment of rural industrial talent revitalization by generative artificial intelligence (GenAI) constitutes an inherent requirement for advancing high-quality development and Chinese-style modernization. This paper systematically expounds the internal logic through which GenAI empowers rural industrial talent revitalization, analyzes the practical challenges it encounters, and proposes corresponding implementation strategies. The study finds that GenAI reshapes the rural industrial talent development system across three dimensions: tools, models, and ecosystems. Its practical logic demonstrates a progressive pathway from scenario-based empowerment to the endogenous construction of practical capabilities, ultimately orienting toward the strategic objective of realizing the value return of rural revitalization through talent empowerment. However, the effective implementation of GenAI is constrained by multiple factors, including insufficient alignment between technologies and data, incomplete institutional support mechanisms, weaknesses in cost and investment structures, and structural tensions embedded within social systems. In response, this paper proposes a systematic pathway for empowering rural industrial talent revitalization through GenAI by focusing on several key aspects: constructing localized industrial databases and scenario-adaptive models; establishing systematic policy support and standardized application frameworks; developing tiered cultivation systems and intelligent decision-support platforms; innovating cost-sharing and sustainable operational mechanisms; and improving human-centered technology governance and knowledge protection mechanisms. These efforts aim to provide theoretical support and practical references for policy formulation and implementation.