Human Capital Strategies to Address Artificial Intelligence Challenges in the Contemporary Work Environment
DOI:
https://doi.org/10.37641/jimkes.v13i5.3907Keywords:
Artificial Intelligence, AI Challenges, Digital Transformation, Human Capital Strategy, Organizational Adaptation, Technology AdaptationAbstract
The rapid integration of Artificial Intelligence (AI) into workplaces presents both opportunities and challenges for organizations, particularly in managing human capital. Drawing on Human Capital Theory and the Technology Acceptance Model (TAM), this study investigates how organizations address AI-related challenges such as skill gaps, employee resistance, and job displacement concerns. The research aims to identify effective strategies for enhancing workforce readiness and adaptability in the AI era. Using a qualitative approach, in-depth interviews were conducted with 18 respondents from diverse industries, complemented by statistical analysis to examine correlations between training frequency and AI implementation success. The findings reveal that digital and social skills training, fostering an innovation-supportive culture, and involving workers in technological transitions are critical to effective adaptation. Statistical results indicate a significant positive correlation between the frequency of digital skills training and AI integration success. This study contributes to the literature by integrating technical and social competencies into a unified human capital strategy framework, offering actionable guidance for organizations navigating AI-driven transformation. The results provide theoretical and practical implications for policy design to support sustainable workforce development in the context of automation and AI adoption.
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References
Al Samman, A. M. (2024). The Use of AI in Fostering and Embracing Organizational Culture. 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 1(1), 12–16.
Annisa, S., & Sutjipto, M. R. (2025). Technology, Organization, Environment, and Digital Transformation for Sustainability. Jurnal Ilmiah Manajemen Kesatuan, 13(4), 2591–2604.
Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment, and Migration Working Papers, 189 (1), 1-35
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
Bessen, J. (2018). AI and jobs: The role of demand (No. w24235). Cambridge: National Bureau of Economic Research.
Bock, L. (2015). Work rules!: Insights from inside Google that will transform how you live and lead. Twelve; USA.
Budiherwanto, I. (2025). The Influence of Artificial Intelligence and the Technology Acceptance Model on Sustainable Financial Governance. Jurnal Ilmiah Manajemen Kesatuan, 13(3), 1791–1802.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. USA: WW Norton & company.
Cao, Z. (2017). Development and application of artificial intelligence. 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017), 403–406.
Chhatre, R., & Singh, S. (2024). AI and organizational change: Dynamics and management strategies. Journal of Emerging Trends and Novel Research, 2(5), 148-159
Domini, B., Dewi, A. S., & Cesna, G. P. (2023). The effects of artificial intelligence (AI) on company performance including the value of AI-based business transformation initiatives. IAIC Trans. Sustain. Digit. Innov, 5(1), 24–38.
Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. Philadelphia: Basic books.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.
Garousi, V., Giray, G., Tuzun, E., Catal, C., & Felderer, M. (2019). Closing the gap between software engineering education and industrial needs. IEEE Software, 37(2), 68–77.
Giovanni, N., & Ali, H. (2024). Pengaruh Pelatihan, Motivasi dan Kompetensi terhadap Kinerja (Pemanfaatan Artificial Intelligence dalam Systematic Literature Review Manajemen Sumber Daya Manusia). Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS), 5(3), 564-573
Hemmer, P., Westphal, M., Schemmer, M., Vetter, S., Vössing, M., & Satzger, G. (2023). Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction. Proceedings of the 28th International Conference on Intelligent User Interfaces, 27(31), 453–463.
Hosanagar, K., & Ahn, D. (2024). Designing human and generative AI collaboration. ArXiv Preprint ArXiv, 1(1), 1-57.
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
Infitharina, E., Prasetyo, F. H., & Nugroho, D. P. (2023). Kecerdasan Buatan dalam Manajemen Sumber Daya Manusia: Menilai Dampak pada Proses Perekrutan dan Seleksi. Jurnal Humaniora, 1(1), 62-69.
Jaiswal, K., Kuzminykh, I., & Modgil, S. (2025). Understanding the skills gap between higher education and industry in the UK in artificial intelligence sector. Industry and Higher Education, 39(2), 234–246.
John, A., Bright, L., & Elly, A. (2025). The Influence of AI And Financial on Employee Engagement and Organizational Change Authors. Social Science Research Network, (1)1, 1-7
Khan, R., Hussain, A., & Ahmad, S. (2023). Revolutionizing human resource management: The transformative impact of artificial intelligence (AI) applications. International Journal of Social Science & Entrepreneurship, 3(4), 306–326.
Kraipornsak, P. (2009). Roles of human capital and total factor productivity growth as sources of growth: Empirical investigation in Thailand. International Business & Economics Research Journal (IBER), 8(12), 37-52
Lacity, M., & Willcocks, L. (2016). Paper 16/01 Robotic Process Automation: The Next Transformation Lever for Shared Services. Retrieved from The Outsourcing Unit, 1(1), 1-35.
Lazarova, M., Caligiuri, P., Collings, D. G., & De Cieri, H. (2023). Global work in a rapidly changing world: Implications for MNEs and individuals. Journal of World Business, 58(1), 101-365.
Levy, F., & Murnane, R. J. (2013). Dancing with robots: Human skills for computerized work. Washington DC: Third Way NEXT.
Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). Harnessing automation for a future that works. McKinsey Global Institute, 1(1), 2–4.
Modliński, A., Kedziora, D., Jiménez Ramírez, A., & del-Río-Ortega, A. (2022). Rolling back to manual work: an exploratory research on robotic process re-manualization. International Conference on Business Process Management, 1(1), 154–169.
Mossavar-Rahmani, F., & Zohuri, B. (2024). Artificial intelligence at work: Transforming industries and redefining the workforce landscape. Journal of Economics & Management Research, 5(2), 2–4.
O’Reilly III, C. A., & Tushman, M. L. (2021). Lead and disrupt: How to solve the innovator’s dilemma. Stanford: Stanford University Press.
Pinto, M. A. N., Tebaldi, E., & Cunha, M. S. da. (2023). The role of human capital in the structural change process. Nova Economia, 33(3), 689–717.
Popkova, E. G., & Sergi, B. S. (2020). Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia. Journal of Intellectual Capital, 21(4), 565–581.
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.
Purwaamijaya, B. M., & Prasetyo, Y. (2022). The effect of artificial Intelligence (AI) on human capital management in Indonesia. Jurnal Manajemen Dan Kewirausahaan, 10(2), 168–174.
Susskind, R., & Susskind, D. (2022). The future of the professions: How technology will transform the work of human experts.Oxford: Oxford University Press.
Syafuddin, K. (2024). Ethics of Artificial Intelligence: Dialectics of Artificial Intelligence Policy for Humanity. The Eastasouth Journal of Information System and Computer Science, 1(03), 147–154.
Sitorus, S. A., Simanjuntak, S. I. R., Sipayung, L. D., & Simarmata, C. A. (2024). Digital Transformation of Small Businesses In Medan: A Quantitative Exploration of The Mediating Role of Partnerships in Enhancing E-Commerce Effectiveness. Jurnal Ilmiah Manajemen Kesatuan, 12(6), 2121–2130.
Valeriya, G., John, V., Singla, A., Devi, J. Y., & Kumar, K. (2024). AI-powered super-workers: An experiment in workforce productivity and satisfaction. BIO Web of Conferences, 86(1), 10-65.
West, D. M. (2018). The future of work: Robots, AI, and automation. Washington DC: Brookings Institution Press.
Xanderina, M., Nafil, A. A., & Jatmiko, F. (2024). Analisis Manajemen Sumber Daya Manusia Instansi Negeri Era Digitalisasi Dengan Kecerdasan Buatan. JATI (Jurnal Mahasiswa Teknik Informatika), 8(4), 4451-4456.
Yang, D., Ziems, C., Held, W., Shaikh, O., Bernstein, M. S., & Mitchell, J. (2024). Social skill training with large language models. ArXiv Preprint, 1(1), 1-16
Zeng, Y., Lu, E., & Sun, K. (2025). Principles on symbiosis for natural life and living artificial intelligence. AI and Ethics, 5(1), 81–86.
Zuboff, S. (2023). The age of surveillance capitalism. In Social theory re-wired. Routledge. Tayor & Francis Group.
