Artificial Intelligence in Human Resource Management and HR Analytics: Transforming Strategic Decision-Making in Organizations

Artificial Intelligence (AI) has emerged as a transformative force in the field of Human Resource Management (HRM). By enabling data-driven insights, automating repetitive administrative processes, and facilitating predictive workforce analytics, AI is redefining the way organizations manage their human capital. HR Analytics, supported by technologies such as machine learning, natural language processing, and predictive algorithms, allows organizations to interpret large volumes of employee data and convert them into actionable insights. These insights assist organizations in improving recruitment strategies, enhancing employee engagement, strengthening performance management systems, and reducing employee turnover. This study explores the integration of Artificial Intelligence and HR Analytics in modern HR practices and examines their contribution to strategic decision-making. The research adopts a conceptual approach supported by an extensive review of relevant academic literature. The findings indicate that AI-based HR analytics significantly improves operational efficiency, enhances workforce planning, and supports evidence-based human resource strategies. However, several challenges such as ethical considerations, data privacy concerns, and the lack of analytical skills among HR professionals continue to hinder its widespread adoption. The study concludes that organizations that successfully integrate AI-enabled HR analytics into their HR systems are better positioned to improve productivity, optimize talent management, and achieve sustainable organizational performance.