Prospects for Managing Human Resources Through Artificial Intelligence: An Applied Scientific Approach Based on the Case of Uzbekistan
Abstract
This study investigates the prospects of integrating artificial intelligence (AI) technologies into human resource management (HRM) practices in Uzbekistan. The research develops a national HR–AI framework based on a comparative analysis of global HR systems (SAP SuccessFactors, Oracle HCM, Workday) and local digital platforms (ARGOS). A pilot implementation of the “Milliy CRM” AI-driven HR platform was conducted at the textile enterprise SANAM MCHJ, where key HR processes were digitalized, including candidate screening, competency assessment, training, KPI monitoring, employee experience analysis, and churn-risk prediction. Mixed-method results demonstrate that AI enables data-driven, transparent, and efficient HRM: employee turnover decreased by 39%, productivity increased by 27%, and employee satisfaction improved by 24%. The analysis reveals substantial improvements in organizational stability, fairness of performance evaluation, and overall workforce motivation. The study argues that “Milliy CRM” can become a strategic digital infrastructure for modernizing the labor market and enhancing human capital development in Uzbekistan. Recommendations are proposed for ensuring ethical, transparent, and human-centered AI deployment in HRM.
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Copyright (c) 2026 Abdurahmonova Gulnora Qalandarovna, Malika Xaydarova
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