江西财经大学学报 ›› 2026, Vol. 0 ›› Issue (3): 25-34.

• 研究阐释党的二十届四中全会精神 • 上一篇    下一篇

生成式人工智能赋能新质生产力发展:内在机理、现实挑战与应对策略

彭一鸣1, 徐进功2   

  1. 1.上海交通大学 马克思主义学院,上海 200240;
    2.厦门大学 马克思主义学院,福建 厦门 361005
  • 收稿日期:2025-10-26 修回日期:2026-03-23 出版日期:2026-05-25 发布日期:2026-05-29
  • 通讯作者: 彭一鸣,上海交通大学博士研究生,主要从事政治经济学和中共党史研究,联系方式pxmnlnlznl@sjtu.edu.cn。
  • 作者简介:徐进功,厦门大学教授,博士生导师,主要从事政治经济学、中共党史研究。
  • 基金资助:
    中共中央宣传部马克思主义理论研究和建设工程委托项目“中国式现代化理论与实践研究”(2023MYB007)

Generative Artificial Intelligence Empowering the Development of New-Quality Productive Forces: Internal Mechanism, Practical Challenges, and Response Strategies

Peng Yi-ming1, Xu Jin-gong2   

  1. 1. Shanghai Jiaotong University, Shanghai 200240;
    2. Xiamen University, Xiamen 361005, China
  • Received:2025-10-26 Revised:2026-03-23 Online:2026-05-25 Published:2026-05-29

摘要: 随着数智技术深入发展,生成式人工智能在赋能新质生产力发展方面发挥了不可替代的作用。生成式人工智能赋能新质生产力发展的内在机理主要体现为推动科技创新和产业革命深度融合、释放数据要素在价值创造中的乘数效应以及重塑人工智能和新的人才资源占主导的劳动力市场。但也要厘清在生成式人工智能赋能新质生产力发展过程中,我国面临关键核心技术“卡脖子”及技术创新与产业革命融合不畅、数智技术进步存在拉大收入分配差距的风险以及高质量充分就业的“肠梗阻”等现实挑战。因此,在数智时代,要以充分发挥新型举国体制优势加快科技创新和产业革命融合、释放并提升以数智技术实现共同富裕的效能、以扎实推动高质量充分就业加快实现人的现代化等举措积极应对。

关键词: 生成式人工智能, 新质生产力, 科技创新, 数据要素, 数智技术

Abstract: With the deepening development of digital and intelligent technologies, generative artificial intelligence has played an irreplaceable role in empowering the development of new-quality productive forces. The underlying mechanisms through which generative AI empowers the development of new-quality productive forces are primarily manifested in promoting the deep integration of scientific and technological innovation with industrial revolution, unleashing the multiplier effect of data as a factor in value creation, and reshaping a labor market dominated by artificial intelligence and new talent resources. However, it is also necessary to clarify the practical challenges China faces in the process of leveraging generative AI to foster new-quality productive forces. These include bottlenecks in key core technologies, the lack of smooth integration between technological innovation and industrial revolution, the risk that advances in digital and intelligent technologies may widen income disparities, and obstacles to achieving high-quality and full employment. Therefore, in the digital and intelligent era, we must actively address these challenges through measures such as fully leveraging the advantages of the new national system to accelerate the integration of scientific and technological innovation with industrial revolution; unleashing and enhancing the efficacy of digital and intelligent technologies to achieve common prosperity; and vigorously promoting high-quality and full employment to accelerate the realization of human modernization.

Key words: generative artificial intelligence, new-quality productive forces, scientific and technological innovation, data element, digital and intelligent technology

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