This study contributes to AI-based human resource (HR) strategies that aim to achieve workforce sustainability and support the retention of IT professionals. As IT sectors struggle with highly reduced turnover and an unstable demand for skills, they are adopting AI technologies, such as predictive analytics and personalized engagement tools, to assess and mitigate turnover risk and are highly concentrated on retention strategies. The study uses a mixed approach that includes quantitative analysis of retention data, as well as qualitative analysis from IT staff and HR leaders. The study also identifies specific AI-driven enhancements to HR practices to build stable, adaptive, and engaged IT workforces. It also explores ethical issues associated with AI in HR, as well as guidance on how to adopt AI responsibly to enhance workplace sustainability and sustain employee retention over time. The purpose of this study is to understand how AI-powered HR strategies can help IT companies better manage their workforce and retain employees. It focuses on finding the key AI tools that can predict when employees start to feel like leaving. This study analyzes AI's role in managing and retaining IT employees by examining turnover and productivity data over a long period, along with interviews with HR managers and IT staff. This study finds that predictive analytics help identify employees at risk of leaving early, while personalized learning and workload management enhance satisfaction and retention. The study concludes that transparent and fair AI use, especially regarding privacy, builds trust, but organizations must adopt an AI-adoption culture and address bias to succeed. It relates AI-enabled HR with sustainable workforce optimization, and both recognize HR as a strategic function in IT. Keywords: AI-enabled HR, employee retention, sustainable workforce optimization
P.K et al. (Tue,) studied this question.