薛澜,姜李丹.生成式人工智能驱动未来产业创新的范式变革[J].中国科学院院刊,2025,40(5):820-827.

生成式人工智能驱动未来产业创新的范式变革

Generative AI-driven paradigm shift for future industrial innovation

薛澜¹
清华大学 公共管理学院 北京 100084
XUE Lan¹
School of Public Policy & Management, Tsinghua University, Beijing 100084, China
姜李丹^2*
北京邮电大学 经济管理学院 北京 100876
JIANG Lidan^2*
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China

         生成式人工智能;未来产业;范式变革;推进策略

        generative artificial intelligence;future industry;paradigm shift;advancement strategies

        生成式人工智能 （AI） 作为引发未来产业创新范式跃迁的核心引擎，正在推动新一代AI迈向深度化思考和长链条推理的“全新质态”。文章以生成式AI驱动未来产业创新的新兴特质为基础背景，辨析了数智时代生成式AI与未来产业创新的互构关系，从知识生产模式转换、技术能动空间重构、新质要素价值释放3个方面深度解析生成式AI驱动未来产业创新的范式变革，并从关键核心技术攻关、产业人才梯度构建、生成式AI技术可信治理等3个维度提出生成式AI驱动未来产业创新的推进策略。

        Generative AI, as the core engine triggering a paradigm shift in future industrial innovation, is propelling the next generation of artificial intelligence toward a “new qualitative state” characterized by deep thinking and long-chain reasoning. This study, grounded in the emerging attributes of generative AI-driven future industrial innovation, examines the mutually constitutive relationship between generative AI and industrial innovation in the digit-intelligence era. Through three analytical dimensions, namely, AI-driven transformation of knowledge production paradigms, the reconstruction of technological agency spaces, and the unleashing of new qualitative factor values, it thoroughly deciphers the paradigm evolution driven by generative AI. Furthermore, it proposes advancement strategies from three critical perspectives: breakthroughs in core technologies, construction of tiered talent ecosystems, and trustworthy governance of generative AI technologies.