HUMAN CAPITAL DEVELOPMENT IN WAR AND POST-WAR TIMES USING ARTIFICIAL INTELLIGENCE

Authors

  • Svitlana Kizim Department of Digital Technologies and Vocational Education, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine
  • Oksana Voloshyna Department of Pedagogy and Educational Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine
  • Liudmyla Bondarchuk Department of Management and Administration, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine
  • Svitlana Nahorniak Department of Pedagogy and Educational Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine
  • Olena Stoliarenko Department of Pedagogy and Educational Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine

DOI:

https://doi.org/10.68302/std2026.vol3.188

Keywords:

artificial intelligence, digital transformation, human capital, post war recovery, wartime conditions

Abstract

This paper examines human capital development in wartime and post-war recovery using artificial intelligence technologies as a key engineering instrument of transformation. Human capital is considered as a multidimensional system that includes vital, intellectual, social, and digital components, all of which have undergone significant changes due to demographic losses, forced migration, destruction of educational infrastructure, and labor market imbalances.

The methodological framework of the study is based on an interdisciplinary approach combining system analysis, conceptual modeling, statistical data analysis, and predictive modeling. This approach enables the identification of key risks of human capital degradation and substantiates the need for a transition to data-driven and engineering-oriented management.

It is demonstrated that artificial intelligence acts as a system-forming factor in human capital development by ensuring personalized learning, continuity of education, adaptive learning environments, and effective alignment with labor market demands. The study proposes an engineering architecture that integrates data-driven management, adaptive learning systems, virtual simulation environments, and digital platforms.

The scientific novelty of the research lies in the development of a roadmap for post-war human capital recovery based on the principles of engineering design and data-driven management. The proposed model defines a sequence of stages from stabilization of vital capital to long-term sustainability, ensuring coordinated recovery of all structural components. Practical implementation includes the use of generative models, adaptive educational platforms, and labor market analytics systems to create individualized learning trajectories and improve the efficiency of human resource utilization.

It is concluded that artificial intelligence serves as a fundamental driver of human capital development in wartime and post-war conditions, enabling accelerated economic recovery, increased competitiveness, and the formation of a knowledge-based innovative economy.

Downloads

Download data is not yet available.

References

[1] Y. Gorodnichenko, M. Kudlyak, and A. Şahin, “The effect of the war on human capital in Ukraine and the path for rebuilding,” IZA Institute of Labor Economics, IZA Policy Paper No. 185, Jun. 2022. [Online]. Available: https://docs.iza.org/pp185.pdf

[2] V. V. Kruglov and D. A. Tereshchenko, “Derzhavna polityka vidnovlennia liudskoho kapitalu Ukrainy v pisliavoiennyi period (State policy of human capital recovery in Ukraine in the post-war period),” Osvitnia analityka Ukrainy (Educational Analytics of Ukraine), no. 2, pp. 21–33, 2023. [Online]. Available: https://science.iea.gov.ua/wp-content/uploads/2023/07/2_Kruglov_Tereshchenko_223_2023_21-33.pdf

[3] O. Yeremenko, “Retraining and lifelong learning as an anti-crisis tool: Preserving Ukraine’s intellectual capital in times of war,” Knowledge Economy and Lifelong Learning, vol. 2, no. 1, pp. 48–66, 2026, doi: https://doi.org/10.61093/kell.2(1).48-66.2026.

[4] J. Ober, T. Matusevych, and O. Strutynska, “From challenges to opportunities: Using ICT and AI in Ukrainian education in times of pandemic and war,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 11, no. 4, p. 100639, 2025, doi: https://doi.org/10.1016/j.joitmc.2025.100639.

[5] M. V. Kuranda and O. A. Bohutska, “Artificial intelligence as a convergence factor between labor and capital: Potential applications for Ukraine’s economic development,” Ekonomika promyslovosti (Economy of Industry), no. 3, 2025, doi: https://doi.org/10.15407/econindustry2025.02.041.

[6] Yu. O. Smykovska, “Shtuchnyi intelekt yak instrument dlia rozvytku liudskoho kapitalu (Artificial intelligence as a tool for human capital development),” in Proc. Student Conf. “Current Issues of Development and Stabilization of Ukraine’s Economy in Wartime”, 2025. [Online]. Available: https://ekmair.ukma.edu.ua/

[7] V. M. Luhova and B. P. Makov, “Vykorystannia liudskoho kapitalu u pisliavoiennii vidbudovi Ukrainy (Use of human capital in post-war reconstruction of Ukraine),” Ukrainian Journal of Applied Economics and Technology, vol. 9, no. 4, pp. 46–50, 2024, doi: https://doi.org/10.36887/2415-8453-2024-4-7.

[8] A. M. Gurzhii and M. A. Prykhodii, “Shtuchnyi intelekt yak stratehichnyi chynnyk rozvytku liudskoho kapitalu v umovakh tsyfrovoi transformatsii (Artificial intelligence as a strategic factor in human capital development in the context of digital transformation),” in Proc. XX All-Ukrainian Sci. Pract. Conf. “Scientific and Methodological Support of Vocational Education and Training”, Kyiv, Ukraine, 2025, pp. 71–78.

[9] N. Y. Dmitrenko, O. V. Voloshyna, S. S. Kizim, K. V. Mnyshenko, and S. V. Nahorniak, “Smart education in the prospective teachers’ training,” CTE Workshop Proceedings, vol. 10, pp. 414–429, 2023, doi: https://doi.org/10.55056/cte.568.

[10] S. Kizim, O. Voloshyna, I. Sarancha, S. Nahorniak, and O. Stoliarenko, “Organization of adaptive training using artificial intelligence technologies in the context of war environment,” in Proc. 16th Int. Sci. Practical Conf. Environment. Technology. Resources, Rezekne, Latvia, 2025, pp. 205–212, doi: https://doi.org/10.17770/etr2025vol2.8606.

[11] A. Yarovyi, A. Yarovyi, S. Kizim, and V. Ozeranskyi, “Innovative trends in the field of modern artificial intelligence methodology,” Environment. Technology. Resources, vol. 2, pp. 132–137, Jun. 2024, doi: https://doi.org/10.17770/etr2024vol2.8065.

[12] O. Voloshyna, T. Melnychuk, M. Sapohov, N. Burlaka, and A. Khilya, “The potential of developing and creating online applications for teacher training,” in Proc. 15th Int. Sci. Practical Conf. Environment. Technology. Resources, Rezekne, Latvia, 2024, pp. 525–529, doi: https://doi.org/10.17770/etr2024vol2.8086.

Downloads

Published

17.09.2026

Issue

Vol. 3 (2026): Proceedings of the International Conference on Secure Systems Design and Technology Development.

Section

INFORMATION TECHNOLOGY

License

Copyright (c) 2026 Svitlana Kizim, Oksana Voloshyna, Liudmyla Bondarchuk, Svitlana Nahorniak, Olena Stoliarenko

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Kizim, O. Voloshyna, L. Bondarchuk, S. Nahorniak, and O. Stoliarenko, “HUMAN CAPITAL DEVELOPMENT IN WAR AND POST-WAR TIMES USING ARTIFICIAL INTELLIGENCE”, SysTechDev, vol. 3, pp. 121–125, Sep. 2026, doi: 10.68302/std2026.vol3.188.