Artificial Intelligence (AI) has emerged as a transformative force in organizational management, particularly within human resource (HR) functions. The integration of AI into HR reporting and practices has significantly altered traditional decision-making processes, enabling data-driven insights and improved workforce performance. However, despite rapid technological adoption, organizations continue to face challenges in effectively leveraging AI for enhancing job performance outcomes. The present study investigates the role of AI in improving HR reporting systems and its subsequent impact on employee job performance. The research aims to examine the relationship between AI-enabled HR practices and performance outcomes, and to analyze how AI-driven reporting enhances decision accuracy and efficiency. The study employs a quantitative research design using secondary data sources, including industry reports and organizational datasets, analyzed through correlation and regression techniques. The findings suggest a strong positive relationship between AI integration in HR processes and improved job performance, mediated by enhanced transparency, predictive analytics, and real-time reporting capabilities. The study contributes to existing literature by bridging the gap between technological innovation and HR performance metrics, offering practical implications for managers and policymakers aiming to optimize workforce productivity through AI adoption.