AI-Driven Talent Transformation in Learning Organizations: An Empirical Analysis of Recruitment, Retention, and Performance Optimization in Leading IT and Service Firms

Abstract

The present study investigates the influence of Artificial Intelligence (AI) on talent management practices in leading Indian IT and service firms, specifically Infosys, IBM, Accenture, Wipro, and TCS, which are recognized as learning-driven organizations. Using a descriptive and empirical design, primary data from 188 employees were analyzed through factor analysis using SPSS 28. The results identified four dominant dimensions—recruitment efficiency, workforce planning and retention, performance management, and fairness mechanisms—collectively explaining 99.85% of the total variance. The Kaiser-Meyer-Olkin value (0.853) and Cronbach’s Alpha (0.917) confirmed data adequacy and reliability. Findings reveal that AI significantly enhances recruitment precision, performance tracking, and employee retention while fostering fairness through data-driven decision-making. The study concludes that AI serves as a transformative enabler in learning organizations, ensuring efficiency, objectivity, and inclusivity in human capital management. The research provides valuable insights for HR leaders to integrate AI strategically to sustain learning, adaptability, and competitiveness in a dynamic business environment.