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

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Authors: Jiawei Xu, Baofeng Zhang, Haohui Li, Jianjun Lu, Yubing Yu
Cited by: 1
References: 69

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.

Fields of Study & Subjects

Innovation and Knowledge Management Big Data and Business Intelligence Innovation Sustainability Human-Machine Systems

Publication details

Journal / source
Journal of Engineering and Technology Management
Publisher
Elsevier BV
Volume
80
Pages
101962–101962
Publication date
1 April 2026
Language
EN