From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness

Firms increasingly invest in artificial intelligence(AI) to enhance market adaptability. Although prior research reveals AI’s optimization potential, whether AI-driven innovation generates disruption remains unclear. This study examines the mechanisms linking AI-driven innovation to market competitiveness. The regression results indicate that AI-driven radical innovation exerts a stronger effect than incremental innovation, highlighting a shift in the role of AI from optimization toward disruption. AI-driven innovation demonstrates stronger effects in concentrated, non–technology-intensive industries and operates through positive media attention, alleviated financial constraints, and reduced cost stickiness. Our findings imply that managers should balance AI-driven radical and incremental innovation portfolios with industry context.

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Publication Details

Journal
Journal of Engineering and Technology Management
Published
2026-04-01
DOI
https://doi.org/10.1016/j.jengtecman.2026.101962
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00

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article

From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness

Yubing Yu, Jiawei Xu, Haohui Li, Jianjun Lu
Journal of Engineering and Technology Management
Innovation and Knowledge Management
article

From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness

Yubing Yu, Jiawei Xu, Haohui Li, Jianjun Lu
article en

Abstract

Firms increasingly invest in artificial intelligence(AI) to enhance market adaptability. Although prior research reveals AI’s optimization potential, whether AI-driven innovation generates disruption remains unclear. This study examines the mechanisms linking AI-driven innovation to market competitiveness. The regression results indicate that AI-driven radical innovation exerts a stronger effect than incremental innovation, highlighting a shift in the role of AI from optimization toward disruption. AI-driven innovation demonstrates stronger effects in concentrated, non–technology-intensive industries and operates through positive media attention, alleviated financial constraints, and reduced cost stickiness. Our findings imply that managers should balance AI-driven radical and incremental innovation portfolios with industry context.

Journal of Engineering and Technology ManagementVol. 80
Ningbo University (CN), Zhejiang Wanli University (CN), China Agricultural University (CN)
National Natural Science Foundation of China, Humanities and Social Science Fund of Ministry of Education of China
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Innovation and Knowledge Management
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From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness — Yubing Yu, Jiawei Xu, et al. · Journal of Engineering and Technology Management (2026) | TGRS Research Map | TGRS