<![CDATA[Pemanfaatan Artificial Intelligence (AI) telah mengubah proses organisasi dan pengembangan sumber daya manusia (SDM). Namun di sisi lain, lanskap penelitian global dan perkembangan struktur pengetahuan mengenai pengembangan SDM berbasis AI masih belum dipetakan secara komprehensif. Penelitian ini bertujuan mengidentifikasi dan menganalisis struktur tematik serta perkembangan penelitian mengenai pengembangan SDM berbasis AI pada artikel jurnal terindeks Scopus yang diterbitkan selama periode 2015–2025. Penelitian menggunakan analisis Bibliometrik terhadap data Scopus yang ditelusuri pada 27 Juli 2026. Strategi penelusuran menggunakan kueri yang mencakup pengembangan SDM, AI, pelatihan, pendidikan, keterampilan, kompetensi, otomatisasi, inovasi, teknologi, dan transformasi digital. Setelah menerapkan kriteria inklusi yaitu Document type: Article; Language: English; Source Type: Journal; Publication Stage: Final; dan Open Access, maka diperoleh 4.634 artikel untuk dianalisis. VOSviewer digunakan untuk memvisualisasikan jejaring kata kunci dan mengidentifikasi tema penelitian dominan serta tema yang berkembang. Hasil penelitian menunjukkan bahwa penelitian pengembangan SDM berbasis AI didominasi oleh empat tema utama, yaitu digital transformation, human resource management, decision making, dan leadership. Perkembangan tema juga menunjukkan pergeseran dari orientasi implementasi AI yang bersifat teknis menuju perspektif yang lebih strategis dan berpusat pada manusia, terutama melalui meningkatnya perhatian terhadap digital transformation dan self-concept. Selain itu, change management, risk factor, dan disability masih relatif kurang diteliti dan menunjukkan kesenjangan penelitian yang penting. Temuan ini memperjelas struktur intelektual dan dinamika perkembangan penelitian pengembangan SDM berbasis AI serta memberikan landasan bagi pengembangan agenda penelitian dan praktik SDM yang lebih adaptif, berorientasi pada perubahan, sadar risiko, dan inklusif. The utilization of Artificial Intelligence (AI) has transformed organizational processes and human resource (HR) development. However, the global research landscape and the evolving knowledge structure of AI-based HR development remain incompletely mapped. This study aims to identify and analyze the thematic structure and development of research on AI-based HR development in Scopus-indexed journal articles published between 2015 and 2025. The study employed bibliometric analysis of Scopus data retrieved on July 27, 2026. The search strategy used queries encompassing HR development, AI, training, education, skills, competencies, automation, innovation, technology, and digital transformation. After applying the inclusion criteria, namely Document Type: Article; Language: English; Source Type: Journal; Publication Stage: Final; and Open Access, a total of 4,634 articles were obtained for analysis. VOSviewer was used to visualize keyword networks and identify dominant and emerging research themes. The findings indicate that research on AI-based HR development centers on four major themes: digital transformation, human resource management, decision-making, and leadership. The thematic evolution also indicates a shift from a technically oriented focus on AI implementation toward a more strategic and human-centered perspective, particularly through increasing attention to digital transformation and self-concept. In addition, change management, risk factors, and disability remain relatively underexplored, indicating important research gaps. These findings clarify the intellectual structure and developmental dynamics of research on AI-based HR development and provide a foundation for advancing research agendas and HR practices that are more adaptive, change-oriented, risk-aware, and inclusive.]]>
