AI-Enabled Talent Management and Faculty Retention in Smart Higher Education Institutions
Published
Synopsis
Artificial Intelligence (AI) is reshaping talent management across sectors, including higher education institutions (HEIs), which face faculty shortages, academic mobility, changing generational expectations, and growing demands for research productivity, teaching innovation, and administrative efficiency. These pressures have made talent management and employee retention strategic priorities. This study examines the implications of AI for talent management policies and practices in higher education, with particular emphasis on faculty and employee retention. Drawing on existing literature and practitioner insights, it develops a theoretical framework integrating AI-enabled human resource management with talent attraction, engagement, development, and retention. The framework identifies influences on academic talent management, including digital transformation, demographic shifts, skills obsolescence, and academic expectations. The study clarifies the role of AI-driven HR systems in strengthening faculty engagement and retention and proposes a conceptual model linking AI-enabled talent practices with sustainable workforce outcomes, institutional competitiveness, academic excellence, and long-term talent sustainability in higher education.