摘要
在全球信息化和数字化进程不断加速发展的背景下,人工智能(AI)技术逐渐成为推动社会经济和社会发展的关键驱动力。人工智能技术革新传统生产方式,同时助力新质生产力。新质生产力是由生产要素创新配置、产业深度转型的先进生产力,目前人工智能技术通过多途径为新质生产力发展注入强大动能。文章首先分析人工智能技术对新质生产力的影响,以南昌市为背景,结合理论内容,通过研究假设、模型构建、指标选择、实证分析等可知,人工智能技术对新质生产力科技生产力影响最大,其次是数字生产力,对可持续生产力和基础生产力的影响较弱。文章结合实际情况,分别从微观层面、中观层面和宏观层面等路径赋能,其最终目的是帮助提高新质生产力,支持经济高质量发展。
In the context of the accelerating development of global informatization and digitization artificial intelligence AI technology has gradually become a key driving force to promote socio-economic and social development.Artificial intelligence technology is revolutionizing traditional production methods while contributing to new quality productive forces.New quality productive forces is an advanced productivity situation characterized by innovative allocation of production factors and deep industrial transformation.At present artificial intelligence technology injects strong momentum into the development of new quality productive forces through multiple ways.This study first analyzes the impact of artificial intelligence technology on new quality productive forces.Based on Nanchang City as the background combined with theoretical content through research hypothesis model construction index selection empirical analysis etc.it can be seen that artificial intelligence technology has the greatest impact on new quality productive forces and scientific productivity followed by digital productivity which has a weak impact on sustainable productivity and basic productivity.From the micro level the middle level and the macro level of the path of empowerment its ultimate purpose is to help improve new quality productive forces support high-quality economic development.
作者
赖熹姬
张乔娜
LAI Xiji;ZHANG Qiaona(Party School of Nanchang Municipal Committee of NPC Nanchang 330000, China)
出处
《江苏科技信息》
2025年第10期9-13,共5页
Jiangsu Science and Technology Information
基金
南昌市社科课题,项目名称:江西省推动新质生产力发展的产业基础和实践路径研究,项目编号:YJ202441
南昌市社科课题,项目名称:乡村振兴背景下南昌市民宿产业高质量发展研究,项目编号:YJ202437。
关键词
人工智能技术
新质生产力
赋能途径
技术创新
artificial intelligence technology
new quality productive forces
enabling approach
technological innovation