Generative AI-driven paradigm shift for future industrial innovation

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.

Authors

Publication Details

Journal
Zhongguo Kexueyuan yuankan
Published
2025-05-01
DOI
https://doi.org/10.3724/j.issn.1000-3045.20250505002
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI-driven paradigm shift for future industrial innovation

Liwu Jiang, Lan Xue
Zhongguo Kexueyuan yuankan
Digital Transformation in Industry
article

Generative AI-driven paradigm shift for future industrial innovation

Liwu Jiang, Lan Xue
article en

Abstract

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.

Zhongguo Kexueyuan yuankanVol. 40(5)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.