AN ARTIFICIAL INTELLIGENCE-ENABLED HUMAN CAPITAL ROI FRAMEWORK FOR STRATEGIC WORKFORCE VALUE OPTIMIZATION

Human capital plays a vital role in enhancing organizational productivity, innovation, and long-term sustainability. Traditional Human Capital Return on Investment (HCROI) measurement approaches primarily focus on financial indicators and often fail to capture qualitative workforce attributes such as employee engagement, adaptability, collaboration, and innovation. This study proposes an Artificial Intelligence-enabled Human Capital ROI framework designed to improve strategic workforce value optimization. The framework integrates Machine Learning, Deep Learning, Predictive Analytics, Natural Language Processing, and Robotic Process Automation to evaluate workforce performance comprehensively. The study includes a systematic review of research articles published between 2015 and 2025 collected from Scopus, IEEE Xplore, Web of Science, SpringerLink, ScienceDirect, and Google Scholar. Experimental analysis demonstrates that AI significantly improves employee productivity, talent retention, employee engagement, and decision-making efficiency. Comparative analysis further reveals that Deep Learning achieves the highest prediction accuracy and ROI improvement among various AI techniques.  The proposed framework offers a scalable and intelligent solution for organizations seeking sustainable workforce optimization and enhanced competitive advantage.