AI recruitment and stakeholder concerns: an integrative framework

The rapid diffusion of artificial intelligence (AI) into recruitment and selection is transforming how organizations attract, evaluate, and hire talent. While adoption promises efficiency, it also raises concerns across different stakeholder groups. Prior research has examined these issues from a single perspective, focusing on applicants, employers, or regulators, without capturing how tensions arise across the recruitment pipeline. This theoretical review proposes an integrative theoretical framework for AI-enabled recruitment. Drawing on Stakeholder Theory and Signaling Theory, we reconceptualize AI-enabled recruitment as a multi-stakeholder signaling system, shifting attention from the use of technologies to the meanings they communicate, and providing a foundation for future research on AI recruitment governance and design.