Human Capital in the Age of Artificial Intelligence: Challenges and Opportunities

Authors

  • Sinta Annisa Universitas Diponegoro, Semarang, Indonesia
  • Yehezkiel Kharis Haryono Universitas Diponegoro, Semarang, Indonesia
  • Intan Ratna Wati Universitas Diponegoro, Semarang, Indonesia

DOI:

https://doi.org/10.63208/210113-551

Keywords:

Artificial Intelligence, Human-AI Collaboration, Human Capital, Skills Gap

Abstract

The paradigm shift that has occurred in the workplace due to the massive use of Artificial Intelligence (AI) requires a comprehensive and structured understanding of its impact on human capital. This research is a systematic literature study that aims to integrate and analyze empirical findings from scientific journals. The analysis identified four main challenges: (1) skill gaps and the incompatibility of the competencies possessed by the current workforce in the AI era; (2) jobs that widen income inequality; (3) ethical risks such as in the recruitment process, performance evaluation, and employee data privacy; and (4) a decline in critical thinking skills. Not only challenges have emerged, but there are also positive opportunities arising from the use of AI. The positive aspects are the creation of collaboration between humans and AI that can increase productivity, the creation of new jobs, and the encouragement of human creativity and innovation. This study examines the importance of balance between humans and AI to build an adaptive and fair human resource ecosystem in an era of rapid technological development.

References

Acemoglu, D., & Restrepo, P. (2019). The wrong kind of AI? Artificial intelligence and the future of labour demand. Cambridge Journal of Regions, Economy and Society, 13(1), 25-35. https://doi.org/10.1093/cjres/rsz022

Becker, G. S. (1975). Human capital: A theoretical and empirical analysis, with special reference to education (2nd ed.). New York: National Bureau of Economic Research.

Benabou, A., & Touhami, F. (2025). Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis. International Journal of Production Management and Engineering, 13(1), 59-76. https://doi.org/10.4995/ijpme.2025.21900

Caputo, F. (2024). Human–artificial intellectual capital…beyond a fragmented perspective. Journal of Intellectual Capital, 25(5/6), 1026-1041. https://doi.org/10.1108/jic-06-2024-0195

Carter, C. (2024). AI surveillance: Reclaiming privacy through informational control. European Labour Law Journal, 16(2), 245-258. https://doi.org/10.1177/20319525241306327

Cheng, C., Luo, J., Zhu, C., & Zhang, S. (2024). Artificial intelligence and the skill premium: A numerical analysis of theoretical models. Technological Forecasting and Social Change, 200, 123140. https://doi.org/10.1016/j.techfore.2023.123140

Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899. https://doi.org/10.1016/j.hrmr.2022.100899

Gandía, J. A. G., Ancillo, A. D. L., & del Val Núñez, M. T. (2025). Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace. Journal of Innovation & Knowledge, 10(4), 100750. https://doi.org/10.1016/j.jik.2025.100750

Hourani, N. (2025). A proposed vision for using artificial intelligence in enhancing strategic value of human resources. International Journal of Industrial Engineering and Production Research, 36(2), 39-51. https://doi.org/10.22068/ijiepr.36.2.2302

Kadirov, A., Shakirova, Y., Ismoilova, G., & Makhmudova, N. (2024). AI in human resource management: Reimagining talent acquisition, development, and retention. 2024 International Conference on Knowledge Engineering and Communication Systems (ickecs), 1-8. https://doi.org/10.1109/ickecs61492.2024.10617231

Kaur, M., Kaur, J., & Kaur, R. K. (2023). Adapting to technological disruption: Challenges and opportunities for employment. 2023 International Conference on Computing, Communication, and Intelligent Systems (icccis), 347-352. https://doi.org/10.1109/icccis60361.2023.10425266

Mariani, M. M., Machado, I., Magrelli, V., & Dwivedi, Y. K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122, 102623. https://doi.org/10.1016/j.technovation.2022.102623

Rismani, S., & Moon, A. (2023). What does it mean to be a responsible AI practitioner: An ontology of roles and skills. In Proceedings of the 2023 AAAI/ACM conference on AI, Ethics, and Society, pp. 584-595. ACM.

Salminen, K., Hautamäki, P., & Jähi, M. (2024). Aligning industry needs and education: Unlocking the potential of AI via skills. 2024 Portland International Conference on Management of Engineering and Technology (picmet), 1-10. https://doi.org/10.23919/picmet64035.2024.10653328

Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17.

Shah, S. S., & Asad, M. M. (2024). Impact of critical thinking approach on learners’ dependence on innovative transformation through artificial intelligence. In The evolution of artificial intelligence in higher education (pp. 161–182). Leeds: Emerald Publishing Limited. https://doi.org/10.1108/978-1-83549-486-820241010

Singh, A., & Pandey, J. (2025). Artificial intelligence applications in human resource management: It is a mixed bag!. International Journal of Productivity and Performance Management, 75(4), 1072-1091. https://doi.org/10.1108/ijppm-09-2024-0599

Sony, M. A. A. M., Amin, M. B., Ashraf, A., Islam, K. A., Debnath, N. C., & Debnath, G. C. (2025). Bias in ai-driven HRM systems: Investigating discrimination risks embedded in AI recruitment tools and HR analytics. Social Sciences & Humanities Open, 12, 102082. https://doi.org/10.1016/j.ssaho.2025.102082

Soumpenioti, V., & Panagopoulos, A. (2023). AI technology in the field of logistics. In 2023 18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP) (pp. 1–6). Limassol: IEEE. https://doi.org/10.1109/smap59435.2023.10255203

Sowa, K., Przegalinska, A., & Ciechanowski, L. (2021). Cobots in knowledge work. Journal of Business Research, 125, 135-142. https://doi.org/10.1016/j.jbusres.2020.11.038

Tenakwah, E. S., & Watson, C. (2024). Embracing the AI/automation age: Preparing your workforce for humans and machines working together. Strategy & Leadership, 53(1), 32-48. https://doi.org/10.1108/sl-05-2024-0040

The 2025 AI Index Report | Stanford HAI. (2025). https://hai.stanford.edu/ai-index/2025-ai-index-report

Tian, J., & Zhang, Y. (2025). Does artificial intelligence help in improving human capital based educational development? Evidence from 29 countries. Technology in Society, 83, 103004. https://doi.org/10.1016/j.techsoc.2025.103004

Watson, G. J., Desouza, K. C., Ribiere, V. M., & Lindič, J. (2021). Will AI ever sit at the c-suite table? The future of senior leadership. Business Horizons, 64(4), 465-474. https://doi.org/10.1016/j.bushor.2021.02.011

Wiethof, C., Roocks, T., & Bittner, E. A. C. (2022). Gamifying the human-in-the-loop: Toward increased motivation for training AI in customer service. In H. Degen & S. Ntoa (Eds.), Artificial Intelligence in HCI (pp. 100–117). Cham: Springer. https://doi.org/10.1007/978-3-031-05643-7_7

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Published

2025-06-30

How to Cite

Annisa, S., Haryono, Y. K. ., & Wati, I. R. . (2025). Human Capital in the Age of Artificial Intelligence: Challenges and Opportunities. Entrepreneurship and Innovation Review, 3(1), 25-45. https://doi.org/10.63208/210113-551

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Submitted: Jan 09, 2025
Final Revised: Mar 23, 2025
Accepted: Apr 22, 2025
Published: Jun 30, 2025
Volumes:
Vol. 3 No. 1 (2025) Pages 25-45
DOI:
10.63208/210113-551
Abstract view: 157
Download: 25

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