THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE TRANSFORMATION OF THE COMPETITIVE ENVIRONMENT OF BANKS
Abstract
The article is devoted to the study of the impact of artificial intelligence on the transformation of key elements of the competitive environment of banks under the conditions of active implementation of technologies. When writing the article, the authors used the methods of induction, comparative analysis, concretization, analogy, analysis of scientific publications, as well as a tabular method of presenting data. The article emphasizes that today artificial intelligence technologies are widely used by financial market participants in various business processes, such as interaction with clients, risk management, analytics, monitoring and execution of transactions; however, there is significant potential for further expansion of AI application by financial institutions, which could improve their efficiency and the quality of services provided. Key areas of application of AI in banking are considered, including automation of operational processes, intelligent risk management, personalization of client services, development of innovative financial products, expansion of analytical capabilities, and management of large volumes of data. It is concluded that the integration of AI technologies into the banking system is becoming an indispensable condition for its sustainable development and global competitiveness. Particular attention is paid to how AI changes traditional business models of banks, increases their competitiveness and forms new strategic advantages in the financial market. The article also raises security issues and ethical dilemmas that arise when implementing such technologies. The authors emphasize that for the successful application of artificial intelligence in the banking sector, it is necessary to develop skills in data management, attract qualified specialists, and create an adaptive IT infrastructure. The practical significance of the study lies in the fact that its results can be the basis for developing strategies for implementing artificial intelligence in banking processes, which not only increases the efficiency of operations, but also helps reduce the associated risks and strengthens the competitive position of a banking institution in the financial services market.
References
Dapp T., Slomka L. Fintech reloaded – Traditional banks as digital ecosystems. Publication of the German original. URL: https://www.dbresearch.com/PROD/RPS (дата звернення: 10.01.2026)
Lee I., Shin Y.J. (2018) Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, vol. 61(1), pp. 35–46.
Haddad C., Hornuf L. (2019) The emergence of the global fintech market: economic and technological determinants. Small Business Economics, vol. 53, pp. 81–105.
Giudici P. (2018) Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance. Frontiers in Artificial Intelligence. URL: https://www.frontiersin.org/articles/10.3389/frai.2018.00001/full (дата звернення: 10.01.2026)
Jaksic M., Marinc M. (2019) Relationship banking and information technology: the role of artificial intelligence and FinTech. Risk Management, vol. 21, pp. 1–18.
Волкова Н., Петров В. Інтеграція штучного інтелекту в банківський сектор: переваги, ризики та регулювання. Праці ІІІ Всеукраїнської науково-практичної конференції «Актуальні проблеми розвитку фінансів в умовах цифровізації економіки України». Вінниця: ДонНУ імені Василя Стуса, 2025. С. 54–57.
Овчаренко Т. Тенденції розвитку та використання штучного інтелекту у банківській сфері. Економіка та суспільство. 2024. № 67. DOI: https://doi.org/10.32782/2524-0072/2024-67-44 (дата звернення: 10.01.2026)
Данік Н., Торлопов А. Впровадження штучного інтелекту в банківську сферу: революція в обслуговуванні та безпеці. International Science Journal of Management, Economics & Finance. 2025. № 4(3). С. 52-59.
Пузирьова П., Ірназаров Д. Особливості інтеграції штучного інтелекту у банківську систему України. Вчені записки Університету «КРОК». 2025. № 1 (77). С. 66–79.
Козьменков М. Г. Використання штучного інтелекту в фінансових установах в Україні: можливості та виклики для екосистеми онлайн сервісів. Проблеми сучасних трансформацій. Серія: економіка та управління. 2025. № 19. DOI: https://doi.org/10.54929/2786-5738-2025-19-04-04 (дата звернення: 11.01.2026)
KPMG (2024) Pulse of Fintech H2 2023. URL: https://home.kpmg/xx/en/home/insights/2024/02/pulse-of-fintech-h2-2023.html (дата звернення: 11.01.2026)
McKinsey & Company (2020) AI-bank of the future: Can banks meet the AI challenge? URL: https://www.mckinsey.com/industries/financial-services/our-insights/ai-bank-of-the-future (дата звернення: 11.01.2026)
IBM Institute for Business Value (2021) AI and data in banking: The future of personalization URL: https://www.ibm.com/thought-leadership/institute-business-value/report/ai-banking (дата звернення: 12.01.2026)
PwC (2023) AI in financial services: How to prepare for the future. URL: https://www.pwc.com/gx/en/industries/financial-services/assets/pwc-ai-in-financial-services.pdf (дата звернення: 12.01.2026)
Dapp T., Slomka L. Fintech reloaded – Traditional banks as digital ecosystems. Publication of the German original. Available at: https://www.dbresearch.com/PROD/RPS (accessed January 10, 2026)
Lee I., Shin Y.J. (2018) Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, vol. 61(1), pp. 35–46.
Haddad C., Hornuf L. (2019) The emergence of the global fintech market: economic and technological determinants. Small Business Economics, vol. 53, pp. 81–105.
Giudici P. (2018) Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance. Frontiers in Artificial Intelligence. Available at: https://www.frontiersin.org/articles/10.3389/frai.2018.00001/full (accessed January 10, 2026)
Jaksic M., Marinc M. (2019) Relationship banking and information technology: the role of artificial intelligence and FinTech. Risk Management, vol. 21, pp. 1–18.
Volkova N., Petrov V. (2025) Intehratsiia shtuchnoho intelektu v bankivskyi sektor: perevahy, ryzyky ta rehuliuvannia [Integrating Artificial Intelligence into the Banking Sector: Benefits, Risks, and Regulation] Pratsi III Vseukrainskoi naukovo-praktychnoi konferentsii «Aktualni problemy rozvytku finansiv v umovakh tsyfrovizatsii ekonomiky Ukrainy». Vinnytsia: DonNU imeni Vasylia Stusa, рр. 54–57. [in Ukrainian]
Ovcharenko T. (2024) Tendentsii rozvytku ta vykorystannia shtuchnoho intelektu u bankivskii sferi [Trends in the development and use of artificial intelligence in the banking sector]. Ekonomika ta suspilstvo, vol. 67. DOI: https://doi.org/10.32782/2524-0072/2024-67-44 (accessed January 10, 2026) [in Ukrainian]
Danik N., Torlopov A. (2025) Vprovadzhennia shtuchnoho intelektu v bankivsku sferu: revoliutsiia v obsluhovuvanni ta bezpetsi [Introducing artificial intelligence into banking: a revolution in service and security]. International Science Journal of Management, Economics & Finance, vol. 4(3), рр. 52-59. [in Ukrainian]
Puzyrova P, Irnazarov D. (2025) Osoblyvosti intehratsii shtuchnoho intelektu u bankivsku systemu Ukrainy [Features of integrating artificial intelligence into the banking system of Ukraine]. Vcheni zapysky Universytetu «KROK», vol. 1 (77), рр. 66–79. [in Ukrainian]
Kozmenkov M. H. . (2025) Vykorystannia shtuchnoho intelektu v finansovykh ustanovakh v Ukraini: mozhlyvosti ta vyklyky dlia ekosystemy onlain servisiv [The use of artificial intelligence in financial institutions in Ukraine: opportunities and challenges for the online services ecosystem]. Problemy suchasnykh transformatsii. Seriia: ekonomika ta upravlinnia, vol. 19. DOI: https://doi.org/10.54929/2786-5738-2025-19-04-04 (accessed January 11, 2026) [in Ukrainian]
KPMG (2024) Pulse of Fintech H2 2023. Available at: https://home.kpmg/xx/en/home/insights/2024/02/pulse-of-fintech-h2-2023.html (accessed January 11, 2026)
McKinsey & Company (2020) AI-bank of the future: Can banks meet the AI challenge? Available at: https://www.mckinsey.com/industries/financial-services/our-insights/ai-bank-of-the-future (accessed January 11, 2026)
IBM Institute for Business Value (2021) AI and data in banking: The future of personalization Available at: https://www.ibm.com/thought-leadership/institute-business-value/report/ai-banking (accessed January 12, 2026)
PwC (2023) AI in financial services: How to prepare for the future. Available at: https://www.pwc.com/gx/en/industries/financial-services/assets/pwc-ai-in-financial-services.pdf (accessed January 12, 2026)





