人工智能驱动新质生产力发展的实践路径研究  

Thoughts on the Practical Approach of Artificial Intelligence Driving the Development of New Quality Productivity

作　　者：李兴腾 黄鹂强 郭江江 涂雨 Li Xingteng;Huang Liqiang;Guo Jiangjiang;Tu Yu(School of Public Affairs,Zhejiang University,Hangzhou 310058,China;School of Management,Zhejiang University,Hangzhou 310058,China;Party School of Zhejiang Provincial Committee of C.P.C,Hangzhou 310000,China)

机构地区：[1]浙江大学公共管理学院,杭州310058 [2]浙江大学管理学院,杭州310058 [3]中共浙江省委党校,杭州310000

出　　处：《工业技术经济》2025年第4期60-69,共10页Journal of Industrial Technology and Economy

基　　金：国家社会科学基金重大项目“人工智能前瞻精准识别高潜能未来产业研究”(项目编号:24&ZD072);国家自然科学基金面上项目“基于信息呈现于收费模式的平台治理研究”(项目编号:72271217);中国博士后科学基金面上项目“基于公共价值的地方数字政府绩效评价及应用研究”(项目编号:2023M731171);浙江省自然科学基金杰出青年基金项目“电子商务用户画像构建与应用研究”(项目编号:LR22G010002)。

摘　　要：人工智能技术的飞速发展,是驱动新质生产力形成的关键要素之一。特别是以DeepSeek-R1、V3、Coder等系列模型为代表的人工智能成果不断涌现,引发各界对人工智能发展及应用价值的广泛关注。人工智能的发展已为新质生产力的形成筑牢了坚实根基,既得益于优先发展人工智能战略的政策扶持,也受益于数据、算法、算力——人工智能三大核心要素的快速进步,以及人工智能产业规模的持续壮大。然而,当前仍存在数据质量欠佳、数字技术融合创新不足、人工智能应用深度有限等瓶颈问题。基于此,本文以马克思生产力理论的3个基本要素为依据,从系统论的视角出发,聚焦数据、计算、算法、应用的协同创新作用;通过搭建国家语料运营平台、人工智能训练场、算力平台、人工智能行业应用基地以及人工智能开源生态,实现新质劳动对象的拓展、新质劳动资料的构建以及新质劳动力的培育,形成“数据驱动创新-工具赋能生产-生态培育人才”的正向循环,最终达成生产力的质的飞跃。The development of artificial intelligence(AI)technology is a key factor driving the formation of new quality pro⁃ductivity,especially the artificial intelligence achievements represented by series models such as DeepSeek-R1,V3,Coder,etc.,which have attracted wide attention from all walks of life on the development and application value of artificial intelligence.Currently,AI development has established a solid foundation for advancing new quality productivity,supported by the AI-priority development strategy and the rapid growth of AI's core components:data,algorithms,and computing power,along with the con⁃tinuous expansion of the AI industry.However,bottlenecks persist,including poor data quality,limited integration and innovation in digital technologies,and inadequate application of AI.Therefore,starting from Marx's theory of the basic three elements of pro⁃ductivity,based on the perspective of system theory,focusing on the synergistic innovation roles of data,computing power,algo⁃rithms,and AI applications,and through the construction of a national corpus operation platform,an AI training ground,an arith⁃metic power platform,an AI industry application base,and an open source ecology of AI,we can realize the expansion of the ob⁃ject of new-quality labor,the formation of new-quality labor means,and the shaping of new-quality labor force,and the positive cycle of“data-driven innovation-tool-enabled production-ecological cultivation of talents”will be formed,ultimately realizing a qualitative leap in productivity.

关 键 词：人工智能 新质生产力 数据 算法 算力 语料运营平台 算力平台 AI行业应用基地 

分 类 号：F49[经济管理—产业经济] F124