Abstract
The article examines the theoretical foundations of the Industry 5.0 concept and the peculiarities of AI transformation of enterprises in the modern digital economy. It is determined that Industry 5.0 reflects the transition from exclusively technology-oriented digitalization to a comprehensive development model in which digital transformation is combined with human-centricity, resilience, environmental responsibility, and the intellectualization of management systems. It is substantiated that, unlike Industry 4.0, which is primarily focused on the automation of production processes and the creation of “smart factories,” the Industry 5.0 concept emphasizes the integration of human intelligence, creativity, and professional experience with the capabilities of artificial intelligence and digital technologies. It is established that the key characteristics of the new development model include human–machine collaboration, adaptability of digital systems, and a focus on ensuring sustainable and innovative development of modern enterprises. The paper reveals the essence of AI transformation of enterprises as a process of systematic implementation of artificial intelligence technologies into managerial, production, and analytical processes of modern business. The main directions of AI transformation of enterprises are systematized, including the intellectualization of management systems, digitalization and automation of business processes, transformation of production and quality management, development of human-centric personnel management, digital transformation of customer interaction, and ensuring sustainable enterprise development. It is proven that the comprehensive integration of AI solutions contributes to increasing the adaptability, competitiveness, and operational efficiency of modern enterprises. Special attention is paid to the analysis of the problems and risks of AI transformation of enterprises related to cybersecurity, the opacity of AI systems, the lack of digital competencies among personnel, the high cost of digital modernization, and dependence on digital infrastructure. Based on the research results, a step-by-step algorithm for enterprise AI transformation under Industry 5.0 conditions is proposed, including the assessment of enterprise digital maturity, the formation of digital infrastructure, the integration of AI solutions into business processes, the development of personnel digital competencies, and the establishment of an AI risk management system.
References
1. Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems, (61), 530–535. https://doi.org/10.1016/j.jmsy.2021.10.006
2. Islam, M. T., Sepanloo, K., Woo, S., Woo, S. H., & Son, Y.-J. (2025). A review of the Industry 4.0 to 5.0 transition: Exploring the intersection, challenges, and opportunities of technology and human–machine collaboration. Machines, 13(4), 1–34. https://doi.org/10.3390/machines13040267
3. Fogaça, D. R., Grijalvo, M., & Sacomano Neto, M. (2025). What are Industry 4.0 and Industry 5.0 all about? An integrative institutional model for the new industrial paradigms. Administrative Sciences, 15(4), 1–19. https://doi.org/10.3390/admsci15040118
4. Ghobakhloo, M., Mahdiraji, H. A., Iranmanesh, M., & Jafari-Sadeghi, V. (2024). From Industry 4.0 digital manufacturing to Industry 5.0 digital society: A roadmap toward human-centric, sustainable, and resilient production. Information Systems Frontiers, (2024). https://doi.org/10.1007/s10796-024-10476-z
5. Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, (217), 102–113. https://doi.org/10.1016/j.procs.2022.12.206
6. Kalinichenko, L. L. (2024). Tsyfrova era: transformatsiia ta vyklyky perekhidnoho periodu vid “Industry 4.0” do “Industry 5.0” [Digital era: Transformation and challenges of the transition period from Industry 4.0 to Industry 5.0]. Ekonomika ta suspilstvo, (61). https://doi.org/10.32782/2524-0072/2024-61-5 (in Ukrainian)
7. Ionin, Ye., & Prysich, A. (2024). Tsyfrova transformatsiia v upravlinni kompaniiamy: Ukraina na shliakhu do konkurentospromozhnosti [Digital transformation in company management: Ukraine on the path to competitiveness]. Ekonomichnyi analiz, 34(3), 429–437. https://doi.org/10.35774/econa2024.03.429 (in Ukrainian)
8. Danyliuk, T. I., & Kushpetiuk, O. I. (2026). Tendentsii tsyfrovoi transformatsii promyslovoho sektoru Ukrainy v umovakh staloho rozvytku [Trends in digital transformation of Ukraine’s industrial sector in the conditions of sustainable development]. Stalyi rozvytok ekonomiky, 2(59), 66–73. https://doi.org/10.32782/2308-1988/2026-59-9 (in Ukrainian)
9. Kovalchuk, I., & Orlova-Kurylova, O. (2025). Tsyfrova transformatsiia upravlinnia yakistiu na pidpryiemstvi zasobamy shtuchnoho intelektu [Digital transformation of quality management at the enterprise by means of artificial intelligence]. Vcheni zapysky Universytetu “KROK”, 3(79), 294–300. https://doi.org/10.31732/2663-2209-2025-79-294-300 (in Ukrainian)
10. Belkadi, A., & Bachiri, M. (2025). Towards an Industry 5.0 enhanced by AI: A theoretical framework. Engineering Proceedings, (112), 1–10. https://doi.org/10.3390/engproc2025112002
11. Liao, D., Liang, R., & Ye, Z. (2025). A research on business process optimisation model integrating AI and big data analytics. arXiv. https://doi.org/10.48550/arXiv.2511.08934
12. Bakator, M., Ćoćkalo, D., & Nikolić, M. (2024). The role of Industry 5.0 in advancing AI-driven predictive analytics in business operations. In Proceedings of the 5th International Conference Economic and Business Trends Shaping the Future (pp. 194–208). https://doi.org/10.47063/EBTSF.2024.0019
13. Abbasi, M., Nishat, R. I., Bond, C., Graham-Knight, J. B., Lasserre, P., Lucet, Y., & Najjaran, H. (2024). A review of AI and machine learning contribution in predictive business process management (process enhancement and process improvement approaches). arXiv. https://doi.org/10.48550/arXiv.2407.11043
14. Vyhmeister, E., & Castañe, G. G. (2022). When Industry meets trustworthy AI: A systematic review of AI for Industry 5.0. ACM Computing Surveys, 1(1), 1–34. https://doi.org/10.48550/arXiv.2403.03061
15. Santos, B., Costa, R. L. C., & Santos, L. (2024). Cybersecurity in Industry 5.0: Open challenges and future directions. IEEE. https://doi.org/10.48550/arXiv.2410.09538
16. Gorobynskaya, M., & Krivtsova, T. (2025). The impact of Industry 5.0 on enterprise resilience in the digital environment. Financial and Credit Systems: Prospects for Development, 2(17), 167–179. https://doi.org/10.26565/2786-4995-2025-2-14
17. Pham, H. S. T., & Li, S. B. (2026). Towards Industry 5.0: A conceptual model for leading organisational change in digital age. Journal of Organizational Change Management, 39(1), 125–161. https://doi.org/10.1108/JOCM-03-2025-0264
18. Ahangar, M. N., Farhat, Z. A., & Sivanathan, A. (2025). AI trustworthiness in manufacturing: Challenges, toolkits, and the path to Industry 5.0. Sensors, 25(14), 1–39. https://doi.org/10.3390/s25144357
19. Huseynov, V., & Nematova, U. (2025). Ethical issues regarding the use of artificial intelligence in business enterprises. International Journal of Research and Scientific Innovation, 12(12), 768–780. https://doi.org/10.51244/IJRSI.2025.12120065
20. Jahan, I., & Nashid, S. (2025). Strategic digital transformation: Reviewing AI-driven frameworks for risk management, regulatory compliance, and sustainability. Pacific Journal of Business Innovation and Strategy, 2(4), 210–220. https://doi.org/10.70818/pjbis.v02i04.0165
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