International Research Journal of Education and Technology

The    creation   and   use   of   AI-powered   job simulation systems—a cutting-edge strategy for talent acquisition and workforce development—is examined in this study.                                       These systems provide dynamic, lifelike simulations  of workplace situations using machine learning (ML) algorithms, such as deep learning. These platforms can evaluate soft skills like problem-solving and negotiating by simulating communication-intensive situations using natural language processing (NLP). Integrations of augmented reality (AR) and virtual reality (VR) improve the immersive experience and give applicants practical, meaningful learning opportunities. The predictive analytics features of the system allow for objective                   candidate                   evaluation   and     performance assessment, providing training managers and recruiters with insightful data. Additionally, individual performance informs the creation of individualized learning paths, which enable focused competency growth and skills gap analysis.This                                study looks at how AI-powered job simulations may boost employee training, increase recruitment               efficiency,                                and                   support        reskilling  and upskilling efforts in a labor market that is changing quickly. A dynamic and successful training experience is guaranteed by the system's capacity to deliver real-time feedback           and                   adaptive      learning,      which    eventually enhances talent management and organizational success. KEYWORDS:

AI-Powered, Machine learning, job simulation system, Real-time feedback, Data-driven insights.