TITLE:
A Literature Review on the Impact of Artificial Intelligence on Corporate Green Innovation
AUTHORS:
Jin Zhu
KEYWORDS:
Artificial Intelligence, Corporate Green Innovation, Influence Mechanisms
JOURNAL NAME:
Open Journal of Business and Management,
Vol.14 No.5,
August
19,
2026
ABSTRACT: Against the backdrop of the deep integration of the digital economy and the green low-carbon transition, artificial intelligence (AI) has emerged as a critical technological force reshaping corporate innovation paradigms and facilitating sustainable development. Drawing on the authoritative literature in management, innovation management, and environmental economics, this study systematically reviews the conceptual foundations, research progress, and underlying mechanisms linking AI and corporate green innovation. The existing literature generally suggests that AI promotes green innovation through multiple pathways, including enhanced information processing, improved knowledge search, production optimization, the alleviation of financing constraints, more efficient resource allocation, and stronger organizational collaboration. However, the effectiveness of these mechanisms is contingent upon several contextual factors, such as firms’ dynamic capabilities, green organizational culture, institutional environments, industry characteristics, and organizational attributes. Future studies should further distinguish among different forms of AI technologies, strengthen the examination of causal mechanisms, extend analyses to cross-country and multi-industry settings, and pay greater attention to the environmental costs associated with AI deployment as well as its long-term implications for substantive green innovation.