重庆大学学报（社会科学版）2026，Vol.32Issue(3)：86-99,14.DOI:10.11835/j.issn.1008-5831.jg.2026.03.008
以人工智能优化提升传统产业:内在机制、现实挑战与政策方向
Artificial intelligence and the optimization of traditional industries:mechanisms,challenges,and policy implications
摘要
Abstract
Against the backdrop of a new round of technological revolution and industrial transformation,optimizing and upgrading traditional industries through artificial intelligence(AI)has become an important issue in advancing a modern industrial system.This paper analyzes the economic logic through which AI empowers traditional industries,focusing on internal mechanisms,practical challenges,and policy directions.The analysis suggests that AI reshapes the operation of traditional industries by influencing production organization,factor allocation,and the level of industrial coordination,thereby altering their modes of operation and paths of efficiency improvement.However,the deeper application of AI in traditional industries remains constrained by incomplete data factor allocation,shortages of composite-skilled labor,and limited adaptation to industrial scenarios.In response,this paper argues that policy priorities should shift from merely promoting technology adoption toward improving the conditions under which AI is integrated into traditional industries.This includes strengthening data infrastructure and governance frameworks,enhancing public services and skill supply oriented toward industrial applications,and optimizing institutional environments and incentive mechanisms,so as to enable AI to more effectively contribute to improvements in operational efficiency and coordination within traditional industries.关键词
人工智能/传统产业/现代化产业体系/要素配置/生产效率Key words
artificial intelligence/traditional industries/modern industrial system/factor allocation/production efficiency分类
管理科学引用本文复制引用
李杰,王圣哲,谢婉晴..以人工智能优化提升传统产业:内在机制、现实挑战与政策方向[J].重庆大学学报（社会科学版）,2026,32(3):86-99,14.基金项目
教育部哲学社会科学研究重大课题攻关项目"畅通国内大循环、促进国内国际双循环的市场设计研究"(21JZD025) （21JZD025）
国家自然科学基金项目"中间品贸易自由化对我国企业自主研发和国际研发合作的影响:机理、效应与政策分析"(72173055) （72173055）
