Abstract : Artificial Intelligence (AI), digital technologies, and hybrid workplace models are transforming the traditional structure of Human Resource Management (HRM). Organizations increasingly rely on AI-enabled systems to automate routine HR tasks, improve talent acquisition, enhance employee engagement, and support strategic decision-making. This study examines the impact of AI-driven HRM practices within digital and hybrid workplace environments and evaluates the opportunities and organizational challenges associated with their implementation. The research explores how AI-based analytics, digital HR platforms, and hybrid working structures influence employee satisfaction, organizational culture, and workforce productivity. A quantitative survey of 120 respondents working in organizations using digital HR tools was conducted. Statistical techniques such as descriptive analysis, reliability testing, correlation analysis, and regression were applied. The findings indicate that AI-enabled HRM significantly improves operational efficiency, supports data-driven decision-making, and enhances employee performance. However, concerns regarding algorithmic bias, data privacy, employee trust, and ethical governance remain major challenges. The study concludes that successful integration of AI in HRM requires a balanced approach that combines technological innovation with human-centric leadership and ethical frameworks.
Cite : Ganesh, K. (2026). AI-Enabled Human Resource Management in the Digital and Hybrid Workplace: Opportunities and Organizational Challenges (1st ed., pp. 190-196). Noble Science Press. https://noblesciencepress.org/chapter/nspebgtrdbaip2026ch-21
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