International Journal of Science, Engineering and TechnologyAuthors: Kranthi Kumar Routhu
Abstract: Skills gaps represent one of the most pressing challenges for modern enterprises, threatening productivity, innovation, and competitiveness as technology, automation, and hybrid work reshape the global labor market. Traditional workforce planning methods—anchored in static competency models, outdated job descriptions, and retrospective training records—often fail to anticipate future needs, leaving organizations exposed to talent shortages and misalignment. By early 2023, however, the integration of AI-driven forecasting capabilities within Oracle HCM Cloud had begun to redefine this paradigm. With tools such as Oracle Dynamic Skills and Fusion HCM Analytics, enterprises can now infer emerging skills from employee data, identify adjacent capabilities that accelerate internal mobility, and simulate workforce readiness scenarios across multiple horizons. These advancements enable HR leaders to shift from reactive interventions toward predictive workforce design, aligning skill-building with evolving business strategies. Drawing on Oracle product documentation, analyst perspectives, and global research on the future of work, this paper argues that AI-powered skills forecasting is no longer optional but an essential capability for building resilient, adaptive, and future-ready organizations
DOI: http://doi.org/10.5281/zenodo.17292267
