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◆ Journal of Engineering and Technology Management2026-04-01· Balance (ability)

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

Jiawei Xu, Baofeng Zhang, Haohui Li, Jianjun Lu, Yubing Yu

原始摘要(英文原文)· Original 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.
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From optimization to disruption: The role of AI-driven innovation in shaping firms’ market competitiveness — 科研速览 Science Skim