Strategi Membangun Talenta Berbasis AI untuk Meningkatkan Kompetensi dan Daya Saing Sumber Daya Manusia Digital

Kurroh Kurroh; Indah Wahyu Ningtias; Syavina Amellia Rizqi Rosadi; Naematul Khomariyah; Moch. Isa Anshori

doi:10.61132/pajamkeu.v3i5.2640

Authors

Kurroh Kurroh Universitas Trunodjoyo Madura
Indah Wahyu Ningtias Universitas Trunodjoyo Madura
Syavina Amellia Rizqi Rosadi Universitas Trunodjoyo Madura
Naematul Khomariyah Universitas Trunodjoyo Madura
Moch. Isa Anshori Universitas Trunodjoyo Madura

DOI:

https://doi.org/10.61132/pajamkeu.v3i5.2640

Keywords:

Artificial Intelligence, Human Resource Development, People Analytics, Talent Acquisition, Talent Management

Abstract

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.

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