Exploration of the Double Helix Integration Model for Technological Innovation and Industrial Innovation Driven by Large-Scale AI Models

DOI: https://doi.org/10.62517/jmsd.202512609

Author(s)

Rong Ye1,2, Fulei He3, Muquan Zou1,4,*, Sunyan Hong5, Haixia Shan1

Affiliation(s)

1School of Information Engineering, Kunming University, Kunming, Yunnan, China 2Postdoctoral Research Station, Fudian Bank Financial Research Institute, Kunming, Yunnan, China 3Yunnan Vocational College of Finance and Economics, Kunming, Yunnan, China 4Yunnan Key Laboratory of Intelligent Logistics Equipment and Systems, Kunming, Yunnan, China 5Yunnan Key Laboratory of Cross-border Digital Economy, Kunming, Yunnan, China *Corresponding Author

Abstract

In the era of digital economy, large AI models, as a pivotal engine of new quality productive forces, are spearheading a new wave of scientific and technological revolution alongside industrial transformation. However, achieving deep synergy between technological innovation and industrial innovation remains challenging. This paper focuses on the dual-helix integration model driven by large AI models, clarifies the essence of this model for technological and industrial innovation, and establishes an enterprise-led collaborative innovation system integrating industry, academia, research, and application. The goal is to achieve seamless convergence and mutually reinforcing spiral advancement between innovation chains and industrial chains. The study further analyzes the driving mechanisms and challenges of large models in propelling technological innovation. In terms of mechanisms, large models are reconstructing the entire chain of technological innovation by transforming innovative thinking from "fragmented knowledge accumulation" to "cross-domain knowledge integration and application," from "linear trial-and-error iteration" to "predictive innovation simulation," from "individual experience-driven" to "collaborative ideation," and from "professional threshold limitations" to "democratized innovation thinking." Furthermore, they optimize the industrial ecosystem across four dimensions: industrial chain collaboration, entity capability reinvention, resource allocation efficiency, and innovation mechanism restructuring. Adhere to the principle that AI large models use data, knowledge, and scenarios as bonds to form a bidirectional iterative closed loop of "technological breakthrough - industrial application - data feedback - technological refinement" between the scientific innovation chain and industrial innovation chain. It is recommended to propose from four aspects: building a super ecosystem integrating industry, academia, and research; empowering small and medium-sized enterprises and underdeveloped regions; constructing a multi-level capital market; and improving ethical governance and security frameworks. This provides support for implementing the double helix integration model and fostering new quality productivity.

Keywords

Large AI Models; Technological Innovation; Industrial Innovation; Dual-Helix Integration Model; Case Studies

References

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