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.
Authors
- Yubing Yu (ORCID: https://orcid.org/0000-0002-0763-9718)
- Jiawei Xu (ORCID: https://orcid.org/0000-0003-1229-8070)
- Haohui Li (ORCID: https://orcid.org/0009-0002-4047-5919)
- Jianjun Lu (ORCID: https://orcid.org/0000-0002-8174-7354)
Institutions
- Ningbo University (CN)
- Zhejiang Wanli University (CN)
- China Agricultural University (CN)
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
Funders
- National Natural Science Foundation of China
- Humanities and Social Science Fund of Ministry of Education of China