Modeling and Analysis of the Impact of Artificial Intelligence on Industry Innovation

Abstract

Abstract: With continuous breakthroughs of Artificial Intelligence (AI) technology, governments worldwide have successively launched funding support plans and related policy support plans to drive technological innovation in various industries through the innovative momentum of AI. Exploring AI technology's development is important for the spillover effects of innovation in various industries. However, the existing work mainly focuses on qualitative analysis and local prospects, lacks data-driven in-depth modeling and quantitative analysis, and it is difficult to fully perceive the impact of AI technology on innovation in the entire industry. This paper analyzes the penetration rate of AI technology and its impact on industry innovation based on more than 30 years of patent data in the United States by constructing a patent citation network. Results show that the penetration rate of AI technology in various industries is continuously rising, and the importance of industry patents is more prominent after citing AI patents. Further layered analysis of these industry patents shows that only a small number of patents (top 20%) promote industry innovation, while the contribution of bottom patents (last 50%) to the value of industry innovation is small, and even less than patents that do not cite AI technology. These results have practical implications for governments to formulate scientific AI support plans and guide efficient allocations of social resources.

Key words: artificial intelligence, patent citation network, innovation diffusion, high-order influence

Jia Hongxing, He Saike, Zhang Peijie. Modeling and Analysis of the Impact of Artificial Intelligence on Industry Innovation[J]. Management Review, 2026, 38(3): 108-116.

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