中国工程科学2025，Vol.27Issue(5)：249-259,11.DOI:10.15302/J-SSCAE-2025.02.025
人工智能赋能未来产业发展的内在逻辑与实现路径
Internal Logic and Implementation Pathway of Artificial Intelligence Empowering the Development of Future Industries
摘要
Abstract
Future industries represent the directions of future technology and industrial development,and serve as a fundamental carrier for cultivating new-form productive forces.Artificial intelligence(AI)drives paradigm shifts in scientific research,facilitates efficiency improvement and transformations in production methods,and reshapes industrial development patterns.Based on the theory of new-form productive forces and the tech-economic paradigm framework,this study constructs an element-scenario-rule triadic framework to clarify AI's role in empowering future industries.Specifically,it clarifies the threefold logic of AI-driven scientific and technological innovation(AI for science),AI-enabled productivity transformation(AI for productivity),and AI-facilitated industrial upgrading(AI for industries).Furthermore,this study examines the key challenges in AI development,including industrial order and employment structure shifts,data privacy and ethical security concerns,energy consumption and computing cost issues,as well as the gap between technology and application.In response,the strategic priorities and implementation pathways for empowering future industrial development through AI are defined.The research proposes recommendations to comprehensively advance the"AI+"initiative,aiming to seize the strategic high ground in sci-tech innovation,cultivate new-form productive forces,and build a future-oriented industrial ecosystem.This entails strengthening four core mechanisms:AI technology innovation,scenario-driven application,factor support infrastructure,and industrial governance framework,thereby advancing the synergistic,orderly,and high-quality integration of AI with future industries.关键词
人工智能/未来产业/新质生产力/技术-经济范式/要素-场景-规则Key words
artificial intelligence/future industries/new-form productive forces/tech-economic paradigm/element‒scenario‒rule分类
经济学引用本文复制引用
陈晓红,蓝澜,周志方..人工智能赋能未来产业发展的内在逻辑与实现路径[J].中国工程科学,2025,27(5):249-259,11.基金项目
中国工程院咨询项目"促进新质生产力发展的未来重点产业战略布局及实施路径研究"(2025-XBZD-14) （2025-XBZD-14）
国家自然科学基金项目(72474232) Chinese Academy of Engineering project"Research on the Strategic Layout and Implementation Pathways of Future Key Industries to Foster the Development of New Quality Productive Forces"(2025-XBZD-14) （72474232）
National Natural Science Fund Project(72474232) （72474232）
