Integration of AI Technologies Into the Strategic Management of Metallurgical Enterprises
DOI:
https://doi.org/10.58423/2786-6742/2025-10-240-251Keywords:
artificial intelligence, strategic management, metallurgical industry, digital transformation, sustainable development, innovative technologies, corporate governanceAbstract
This article examines how artificial intelligence is transforming strategic management of metallurgical enterprises under the influence of the new industrial revolution. The relevance of this work is determined by the need to rethink traditional approaches to strategic planning, as innovative AI technologies and growing demands for environmental responsibility in business are becoming increasingly important. A comprehensive analysis of the evolution of management practices of leading global metallurgical corporations that are implementing intelligent systems in their activities was conducted. The methodological basis of the study was a systematic approach to the study of strategic transformations, analysis of digitalization cases, and the author's conceptualization of future trends in the development of the industry. It has been established that the introduction of AI leads to qualitatively new changes in the nature of strategic thinking among managers: instead of relying on experience and intuition, managers can now make decisions based on accurate analysis of large amounts of data. It has been proven that AI technologies enable a transition from reactive management strategies to proactive models, where companies can anticipate market changes and adapt to them in advance. The results of the study show that companies that successfully integrate AI into strategic planning demonstrate increased adaptability to changing market conditions, improved resource efficiency, and a stronger position in global competition. The practical significance of the work is determined by the possibility of using the results obtained to improve the strategic management of metallurgical enterprises. The conclusions give grounds to assert that artificial intelligence acts as a catalyst for the transition of strategic management to a new level, ensuring the formation of adaptive, data-oriented, and environmentally responsible models of corporate governance.
References
1. Verbivska, L. V. (2023). Zastosuvannia instrumentiv shtuchnoho intelektu pry upravlinni konkurentospromozhnistiu pidpryiemstva [Application of artificial intelligence tools in managing enterprise competitiveness]. Problemy suchasnykh transformatsiy. Seriya: ekonomika ta upravlinnya, (10). DOI: https://doi.org/10.54929/2786-5738-2023-10-04-06 [in Ukrainian].
2. Huk, O. V., Artemenko, L. P., Khytrovska, Yu. V. (2024). Istoriia shtuchnoho intelektu v media biznesi: etapy rozvytku, vyklyky ta perspektyvy [The history of artificial intelligence in the media business: stages of development, challenges and prospects]. Storinky istoriyi, (59), 104-118. DOI: https://doi.org/10.20535/2307-5244.59.2024.318894 [in Ukrainian].
3. Orekhov, D. (2024). Zastosuvannia shtuchnoho intelektu v upravlinni suchasnym pidpryiemstvom [Application of artificial intelligence in modern enterprise management]. Ekonomika ta suspilstvo, (64). DOI: https://doi.org/10.32782/2524-0072/2024-64-143 [in Ukrainian].
4. ArcelorMittal. (2023). Steel thoughts: embracing the opportunity of AI. https://corporate.arcelormittal.com/smarter-future/steel-thoughts-embracing-the-opportunity-of-ai-1
5. How artificial intelligence is used in metallurgy. GMK Center. URL: https://gmk.center/ua/opinion/yak-shtuchnij-intelekt-zastosovujut-u-metalurgii/ [in Ukrainian].
6. Kolbjørnsrud, V., Amico, R., Thomas, R. J. (2016, November). How artificial intelligence will redefine management. Harvard Business Review. URL: https://hbr.org/2016/11/how-artificial-intelligence-will-redefine-management
7. Digital breakthrough in metallurgy: How Metinvest Digital is training machines to control metal quality. Metinvest. URL: https://metinvestholding.com/en/media/news/cifrovij-proriv-u-metalurg-yak-metinvest-digital-navcha-mashini-kontrolyuvati-yakstj-metalu
8. IT and artificial intelligence can make metallurgy more environmentally friendly and efficient. Metinvest Media. URL: https://metinvest.media/en/page/it-ta-shtuchniy-ntelekt-mozhut-zrobiti-metalurgyu-ekologchnshoyu-y-efektivnshoyu- [in Ukrainian].
9. Petrenko, A., Artemenko, L., Mohonko, G. (2024). Assessment approaches of the economic sustainability of industrial enterprises. Ekonomichnyy visnyk KPI, (30), 54-60. URL: https://ela.kpi.ua/server/api/core/bitstreams/c2665dfd-7cdc-4b0e-ad8f-6df286db68d4/content
10. Artificial intelligence statistics by market, technology, revenue, demographic and facts. (2025). Sci-Tech Today. URL: https://www.sci-tech-today.com/stats/artificial-intelligence-statistics/
11. AI technology revolutionizing manufacturing through open source innovation. Steel Industry News. URL: https://steelindustry.news/steel-ai-technology-revolutionizing-manufacturing-through-open-source-innovation
12. POSCO's Smart Factory Introduces Artificial Intelligence. (2017). POSCO Newsroom. URL: https://newsroom.posco.com/en/poscos-smart-factory-introduces-artificial-intelligence/
13. AI: The next frontier of performance in industrial processing plants. (2023). McKinsey. URL: https://www.mckinsey.com/industries/metals-and-mining/our-insights/ai-the-next-frontier-of-performance-in-industrial-processing-plants
14. Digital Factory Transformation Survey 2022. (2022). PwC. URL: https://www.pwc.de/de/content/0f96ea9c-992c-4ba7-8c4d-b4637cf81d9f/pwc-digital-factory-transformation-survey-2022.pdf
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Anna Pryshva, Lina Artemenko
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons CC BY-NC License.
