Research on AI-Enabled Financial Service Models for Boosting Rural Industrial Revitalization in Poverty-Alleviated Areas—A Case Study of Meitan County, Zunyi, Guizhou Province

Abstract

Against the backdrop of comprehensively advancing rural revitalization, rural industries in poverty-alleviated areas are undergoing a critical transformation from external assistance to endogenous growth. he construction pathHowever,the traditional rural financial service system struggles to match the new demands of large-scale development and integrated revitalization of rural industries,and the structural mismatch between financial supply and industrial upgrading has become a major constraint.To address this issue, this paper selects Meitan County, Zunyi, Guizhou Province as a typical case, systematically analyzes its trajectory of rural industrial revitalization and the operational logic of supporting financial service models from 2020 to 2024,and focuses on examining the enabling role of artificial intelligence in financial service links such as credit evaluation, risk control,and credit system construction, exploring how AI improves the accuracy and coverage of financial services.This study aims to enrich micro-case research on financial service models empowering rural industrial revitalization, and provide practical references and decision-making basis for similar poverty-alleviated areas to break financial constraints and explore intelligent financial development paths.