Cyborging HRM theory: from evolution to revolution – the challenges and trajectories of AI for the future role of HRM

Purpose: Human Resource Management (HRM) is a critical organizational function, which has continued to evolve. We aim to explore how different HRM will be in the workplace of the future and why, from both strategic and practical perspectives. We present and discuss core HRM practices, such as recruitment, selection and training, as well as peripheral activities, such as monitoring health and safety, and diversity management, reflecting on how they may transform in the workplace of the future. Design/methodology/approach: This is a conceptual thought piece, building on the Substitution, Augmentation, Modification and Redefinition (SAMR) model, to offer a futuristic view of HRM in the era of AI. Findings: Discussing the contemporary challenges of Artificial Intelligence, which we predict will lead to what we term Cyborging HRM. Practical implications: This study can help HR managers and practitioners to be prepared for AI-embedded HRM systems in the future. For academics, it offers an innovative framework to establish future writing on HRM in the AI era. Originality/value: AI is pushing HRM and the profession will have to undergo a revolutionary rather than evolutionary transformation in order to remain a necessary and valuable function for organizations. Our elaboration of the SAMR model and suggested implications for the future transformation of HRM should be worthwhile to organizations, management and the wider society.