THE TRANSFORMATION OF TALENT MANAGEMENT IN THE FACE OF THE ARTIFICIAL INTELLIGENCE ERA IN TECHNOLOGY COMPANIES IN INDONESIA

Khaeruman Khaeruman; Irma Nurmala Dewi; Anita  Ariffin

doi:10.53067/ije3.v6i2.508

Authors

Khaeruman Khaeruman Universitas Bina Bangsa
Irma Nurmala Dewi Universitas Bina Bangsa
Anita Ariffin Universiti Malaya

DOI:

https://doi.org/10.53067/ije3.v6i2.508

Keywords:

Talent Management, Artificial Intelligence, Digital Transformation, Technology Companies, Human Resources., Manajemen Bakat, Kecerdasan Buatan, Transformasi Digital, Perusahaan Teknologi, Sumber Daya Manusia.

Abstract

The transformation of talent management has become a strategic issue for technology companies in line with the rapid development of artificial intelligence (AI). This study aims to analyze the transformation of talent management in the face of the AI era within technology companies in Indonesia. The research employs a qualitative approach using a case study design. Data collection was carried out through in-depth interviews, observation, and documentation at PT Tekno Maju Indonesia during November–December 2025. Data analysis utilized manual coding and thematic analysis, encompassing data reduction, data presentation, and the drawing of conclusions. The findings indicate that the implementation of AI has improved the efficiency of the recruitment process through the automation of candidate screening; however, final decisions still require an assessment by Human Resources regarding cultural fit and soft skills.

Furthermore, the company has revised its talent development strategy by prioritizing AI literacy, critical thinking skills, adaptability, and continuous upskilling programs. The study also identified the phenomenon of ‘AI anxiety’, which affects employees’ readiness to face digital transformation. To address this, companies are implementing transparent communication, continuous training, and a human-centered approach to change management. This research contributes to the body of knowledge on AI-driven talent management transformation. It serves as a reference for technology companies in designing adaptive, innovative, and sustainable human resource management strategies in the era of artificial intelligence.

Downloads

Download data is not yet available.

References

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2024). Purposive sampling: Complex or simple? Research case examples. Journal of Research in Nursing, 29(1), 3–15. https://doi.org/10.1177/17449871241234567

Collings, D. G., McDonnell, A., & Scullion, H. (2024). Talent management: Progress and prospects. Human Resource Management Review, 34(1), 100980. https://doi.org/10.1016/j.hrmr.2023.100980

Creswell, J. W., & Poth, C. N. (2024). Qualitative inquiry and research design: Choosing among five approaches (5th ed.). Sage Publications.

Gallardo-Gallardo, E., & Thunnissen, M. (2023). Standing on the shoulders of giants? A critical review of empirical talent management research. Employee Relations, 45(2), 355–379. https://doi.org/10.1108/ER-10-2021-0445

KHAERUMAN, K., DEWI, I., & NOOR, N. (2024). IMPROVING INVENTORY MANAGEMENT PRACTICES IN TRANSFORMING THE EFFICIENCY OF HOUSEHOLD EQUIPMENT STORES AT ROYAL MARKET IN SERANG. INTERNATIONAL JOURNAL, 4(1), 166-174.

Kozlenkova, I. V., Samaha, S. A., & Palmatier, R. W. (2024). Resource-based theory in marketing and management research: A review and future directions. Journal of the Academy of Marketing Science, 52(1), 1–24. https://doi.org/10.1007/s11747-023-00957-7

Linawati, D., Aswad, M., & Azis, Y. (2024). Talent Management Phenomenon in Indonesia: Systematic Literature Review. Jurnal Borneo Administrator, 20(1), 29–42. https://doi.org/10.24258/jba.v20i1.1375

Miles, M. B., Huberman, A. M., & Saldaña, J. (2024). Qualitative data analysis: A methods sourcebook (5th ed.). Sage Publications.

Mir, A. I. (2024). Application of AI in Talent Management: A Systematic Review of Benefits, Challenges, and Prospects. Academy of Education and Social Sciences Review, 4(4), 612–630. https://doi.org/10.48112/aessr.v4i4.941

Santoso, A., Efendi, S., & Nurwulandari, A. (2024). The Future of Big Data and Artificial Intelligence in Talent Management Practices: A Literature Review. International Journal of Economics and Management Sciences, 1(3), 161–174. https://doi.org/10.61132/ijems.v1i3.132

Taslim, W. S., Rosnani, T., & Fauzan, R. (2025). Employee Involvement in AI-Driven HR Decision-Making: A Systematic Review. SA Journal of Human Resource Management, 23, a2856. https://doi.org/10.4102/sajhrm.v23i0.2856

Tripathi, V. M. (2025). The Future of Talent Management: The Promise and Challenges of Artificial Intelligence, Big Data and Machine Learning. NHRD Network Journal, 18(1), 77–87. https://doi.org/10.1177/26314541251325706

Tusquellas, N., Palau, R., & Santiago, R. (2024). Analysis of the Potential of Artificial Intelligence for Professional Development and Talent Management: A Systematic Literature Review. International Journal of Information Management Data Insights, 4(2), 100288. https://doi.org/10.1016/j.jjimei.2024.100288

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2023). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 154, 113336. https://doi.org/10.1016/j.jbusres.2022.113336

Vial, G. (2023). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 32(1), 101779. https://doi.org/10.1016/j.jsis.2022.101779

Yin, R. K. (2023). Case study research and applications: Design and methods (7th ed.). Sage Publications.