<![CDATA[Digital transformation has changed the way organizations manage human resources, particularly in identifying, developing, placing, and retaining talent. The use of artificial intelligence (AI) in talent management enables organizations to utilize data to support recruitment, competency mapping, employee development, career planning, performance evaluation, and talent retention. This article aims to analyze strategies for building AI-based talent by reviewing eight articles related to artificial intelligence, talent management, human resource development, talent acquisition, and data integration. This study uses a literature review approach by comparing the findings, research focuses, methods, benefits, and challenges discussed in the selected sources. The literature indicates that AI can support organizations in identifying talent and employee potential, analyzing competency gaps, providing personalized learning programs, supporting career development, and predicting employee turnover risks. However, AI implementation also presents challenges, including algorithmic bias, data quality limitations, lack of transparency, privacy concerns, organizational readiness, and the need for digital competencies. Therefore, an AI-based talent development strategy should integrate technology, data quality, organizational readiness, leadership, employee development, and ethical governance. AI should complement human judgment rather than replace the human role in talent management. This collaboration can improve talent management while maintaining contextual, relational, and ethical considerations.]]>
