International Journal of Science, Engineering and TechnologyAuthors: Manoj Parasa
Abstract: The accelerating convergence of artificial intelligence (AI) and human capital management (HCM) is redefining how enterprises nurture career growth, retain top talent, and sustain workforce agility in an era of rapid digital transformation. This research presents a comprehensive analysis of AI-powered path mapping tools embedded within the SAP SuccessFactors Career Development Module (CDM) and their transformative role in optimizing internal career mobility and professional development. Building on a mixed-methods framework that integrates system simulations, user experience analytics, and cross-industry benchmarking, the study evaluates how AI-driven algorithms dynamically align individual competencies, aspirations, and business priorities. The analysis reveals that AI-enhanced CDM environments significantly elevate employee engagement and enable organizations to transition from reactive succession planning to proactive talent ecosystem design. Results further indicate that intelligent path mapping fosters personalized learning recommendations, closes critical skill gaps, and accelerates career progression through adaptive recommendation engines and predictive analytics. Beyond empirical validation, the study also identifies key organizational enablers such as governance frameworks, ethical AI usage, and user adoption models that determine implementation success. The findings contribute to both academic discourse and enterprise HR strategy by framing AI not merely as an automation layer but as a strategic co-designer of individualized career journeys capable of anticipating workforce evolution and sustaining business resilience in the digital economy.
DOI: http://doi.org/10.5281/zenodo.17453055
