The research examines how artificial intelligence-based human resource management systems affect work life quality for Saudi telecommunications sector employees. Drawing on Social Exchange Theory, the research examines how AI-driven recruitment and selection, performance appraisal, training and development, and employee support systems affect employees’ perceptions of fairness, well-being, and career development. The research used quantitative methods through an online survey, which reached staff members at major telecommunications organizations. The researcher conducted regression analysis on 390 valid responses. The research shows that AI-based HR systems create positive effects on QWL, and performance appraisals and training & development prove to be the most influential factors. The study shows that work-life balance quality depends on demographic factors because managers and employees with extended service time achieve better QWL results than customer service personnel and junior staff members. The study presents fresh perspectives on HRM research by studying human-focused AI implementation in developing nations and providing actionable recommendations for managers and policymakers to create ethical AI-based HR systems that boost employee satisfaction and motivation and decrease employee turnover.
