AI-ENABLED TRANSFORMATION OF HR: A CONCEPTUAL REVIEW OF TRAINING AND TALENT MANAGEMENT

Abstract

The research investigates how Artificial Intelligence (AI) systems create effects on Human Resource Management (HRM) functions which manage staff learning and worker advancement programs. The study employs a conceptual framework which unites a full literature review of academic sources between 2015 and 2025 by following PRISMA guidelines for selecting and synthesising studies. AI systems enable businesses to build data-driven HR systems which deliver tailored learning solutions and prediction-based talent management and improved personnel allocation decisions. AI technology needs employees to adopt it, and organizations require operational readiness and ethical standards for successful implementation. The study combines the Technology Acceptance Model (TAM) with the Technology–Organisation–Environment (TOE) framework to create a theoretical model which connects AI characteristics to HR outcomes and employee performance results. The research provides organizations with actionable guidance which enables them to implement AI-based human resource systems effectively The research provides a unified theoretical perspective on HRM transformation through artificial intelligence integration.