ABSTRACT The rise of artificial intelligence (AI) presents both opportunities and challenges for corporate social responsibility (CSR), fundamentally altering how businesses address societal needs. Yet research at the CSR–AI interface remains fragmented. This study conducts a bibliometric analysis of 747 peer‐reviewed articles, encompassing 39,435 references to uncover the intellectual structure of CSR‐AI research. We address three key questions: the evolution of CSR‐AI studies, current research hotspots, and future directions. Our findings reveal nine intellectual subdomains, with web accessibility and online platforms as dominant themes. The CSR‐AI field has evolved through three growth stages, accelerating markedly in recent years, centering on sustainability, impact, and performance, while emerging frontiers focus on firm performance, co‐creation, and environmental sustainability. By synthesizing dispersed knowledge and mapping key trajectories, this study offers a systematic foundation for understanding how AI is redefining responsible business. It concludes with seven research opportunities to guide CSR–AI scholarship and practice.
Zhao et al. (2026) studied this question.