THE SYNERGY OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGIES IN THE FINANCIAL SECTOR

Authors

  • Svitlana MISHCHENKO, DSc (Econ.), Prof. State University of Trade and Economics image/svg+xml
  • Svitlana NAUMENKOVA, DSc (Econ.), Prof. Taras Shevchenko National University of Kyiv image/svg+xml
  • Іevhen TISHCHENKO, PhD (Econ.), Doctoral Student Private Higher Education Institution "European University"

DOI:

https://doi.org/10.17721/1728-2667.2025/227-2/7

Keywords:

public finance, innovation, artificial intelligence, blockchain, digital transformation, decentralization, regulation

Abstract

B a c k g r o u n d . Artificial intelligence (AI) is a powerful driver of innovative transformation and proactive service delivery, generating demand based on the use of personalized information that clients can access in real time. The implementation of integrated solutions based on generative artificial intelligence (GenAI) and blockchain technologies lays the foundation for a synergistic effect through the transformation of traditional approaches

M e t h o d s . To identify forms of integration and reveal the synergy between artificial intelligence and blockchain technologies in the financial sector, a combination of methods was applied, including expert assessment, analysis and synthesis, hierarchy structuring, rating, decomposition, and multicriteria analysis. Drawing on data from BIS, McKinsey & Company, and Deloitte, the benefits of implementing integrated GenAI and blockchain-based solutions were highlighted in terms of enhancing the transparency, security, and efficiency of financial operations and transactions. Based on methodological approaches from the IMF, OECD, Financial Stability Board, and the World Economic Forum, key areas for the practical application of integrated AI and blockchain solutions in the financial sector were identified.

R e s u l t s . The article presents the evolution of artificial intelligence during 2022–2025 and defines its main models. It analyzes the costs of implementing AI platforms across different sectors of the economy and characterizes the main forms of integration of artificial intelligence and blockchain technologies in the financial sector, such as smart contracts, fraud and cyber threat detection, credit scoring and risk assessment, automation of financial processes, trading, and asset management. The benefits and risks of AI–blockchain synergy were outlined depending on the application domain. Particular attention is given to strengthening Ukraine's institutional readiness to adopt AI in the financial sector. The results obtained may be used in strategic planning for the digital development of the financial sector under the growing influence of technological innovation.

C o n c l u s i o n s . The combination of GenAI and blockchain technologies generates a synergistic effect that acts as a catalyst for innovation in the financial sector, particularly in the areas of security, efficiency, and personalization of financial services. At the same time, the integration of GenAI and blockchain introduces a range of challenges related to scalability, system interoperability, and the management of decentralized structures, which require comprehensive implementation of OECD principles regarding the development and ethical use of AI, harmonized standards, and the creation of a flexible regulatory environment.

Downloads

Download data is not yet available.

References

Alenizi, А., Mishra, S., & Baihan, A. (2024). Enhancing secure financial transactions through the synergy of blockchain and artificial intelligence. Ain Shams Engineering Journal, 15(6), 102733. https://doi.org/10.1016/j.asej.2024.102733.

Alshamsi, M., Salloum, S. A., Alshurideh, M., & Abdallah, S. (2021). Artificial Intelligence and Blockchain for Transparency in Governance (А. Hassanien, R. Bhatnagar, & А. Darwish, (Еds.). Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications. Studies in Computational Intelligence, 912. Springer. https://doi.org/10.1007/978-3-030-51920-9_11

BIS. (2024). Regulating AI in the financial sector: recent developments and main challenges. 63, 38. https://www.bis.org/fsi/publ/insights63.htm

Bk, A., Gomathy, B. (2023). Blockchain Integration in Artificial Intelligence: Benefits, Applications, Research Challenges. International Journal for Multidisciplinary Research, 5(6). https://doi.org/10.36948/ijfmr.2023.v05i06.10583.

Brown, P., & Leopold, T. (2024). Leveraging Generative AI for Job Augmentation and Workforce Productivity: Scenarios, Case Studies and a Framework for Actionю WEF Insight Report. https://reports.weforum.org/docs/WEF_Leveraging_Generative_AI_for_Job_Augmentation_and_Workforce_Productivity_2024.pdf

Chugunov, I., Sidelnykova, L., Sosnovska, O., Zhytar, M., & Navolokina, A. (2022). Tools for Assessing the Level of Adaptivity of the Financial Architecture of Economy to Financial Globalization Conditions based on the Capacity of Banks, Non-Banking Financial Institutions and Stock Market. WSEAS Transactions on Business and Economics, 19, 1075–1084. https://dx.doi.org/10.37394/23207.2022.19.94

Conversa. (2025). Fintech 2025+. Trends, technology, and transformation in global commerce. https://convera.com/docs/convera-fintech-2025-report.pdf

Deloitte. (2025). Now decides next: Generating a new future. Deloitte's State of Generative AI in the Enterprise. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-q4.pdf

Dwivedi, Y., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, V.,Janssen, M., Jones, P., Kumar Kar, A., Kizgin, H., Kronemann, B., Lal, B.,Lucini, B., … Williams, M. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002.

Farooqui, Y. , & Parikh, S. M. (2023). Secure and Transparent Supply Chain Management using Blockchain and IoT. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11s), 01–12. https://doi.org/10.17762/ijritcc.v11i11s.8064

Financial Stability Board. (2024). The Financial Stability Implications of Artificial Intelligence. https://www.fsb.org/2024/11/the-financial-stabilityimplications-of-artificial-intelligence/

Fuentes Nettel, P., Hankins, E., Stirling, R., Cirri, G., Grau, G., Rahim, S.,& Crampton, E. 2024). Government Readiness Index 2024. Oxford Insights. https://oxfordinsights.com/wp-content/uploads/2024/12/2024-Government-AI-Readiness-Index-2.pdf

Girija, D. K., Rashmi, M., William, P., & Yogeesh, N. (2023). Framework for Integrating the Synergies of Blockchain with AI and IoT for Secure Distributed Systems. Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 (рр. 257–267). Springer. https://doi.org/10.1007/978-981-99-3878-0_22

Giovine, C., Roberts, R., Mara, P., & Medha, M. (2024). Building AI trust: The key role of explainability McKinsey & Company. https://www.mckinsey.com/capabilities/quantumblack/our-insights/building-ai-trust-the-key-role-ofexplainability

Greenstein, B., Light, C., & Likens, S. (2024). The path to generative AI value: Setting the flywheel in motion. PwC. https://www.pwc.com/gx/en/technology/pdf/pwc-the-path-to-generative-ai-value.pdf

ІВМ. (2024). What is explainable AI? https://www.ibm.com/think/topics/explainable-ai

Ignatyuk, А., Liubkina, О., Murovana, Т., & Magomedova, A. (2020). FinTech as an innovation challenge: from big data to sustainable development. International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters, 13027. https://doi.org/10.1051/e3sconf/202016613027

Kuznetsov, O., Sernani, P., Romeo, L., Frontoni E., & Mancini, A. (2024). On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security. IEEE Access, 12, 3381–3897. http://doi.org/10.1109/ACCESS.2024.3487273

Mazaraki A. A., Volosovych S.V. (2019). FinTech: Kyiv National University of Trade and Economics [in Ukrainian]. http://doi.org/10.31617/m.knute.2019-887

McKinsey & Company. (2024). Implementing generative AI with speed and safety. https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/implementing-generative-ai-with-speed-and-safety

McKinsey & Company. (2025). Superagency in the workplace: Empowering people to unlock AI's full potential https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplaceempowering-people-to-unlock-ais-full-potential-at-work#/

Mishchenko, V. (2023). Cyber security management in the system for ensuring nationally rooted resilience of economic development. Economic Theory, 1, 47–72 [in Ukrainian]. https://etet.org.ua/docs/ET_23_1_47_uk.pdf

Mishchenko, V., & Naumenkova, S. (2024). State support mechanisms for the use of artificial intelligence to ensure resilience of economic development. Economy of Ukraine, 5, 30–56 [in Ukrainian]. https://doi.org/10.15407/economyukr.2024.05.030

Mishchenko, V, Naumenkova, S, Mishchenko, S., & Tishchenko, I. (2025). Formation аnd Functioning оf Financial Metaverse Platforms. Financial and credit activity problems of theory and practice, 1(60), 111–122. https://doi.org/10.55643/fcaptp.1.60.2025.4689

Mishchenko, V., Naumenkova, S., & Mishchenko, S. (2024). Management of artificial intelligence utilizing value-based principles. In Traditional and innovative approaches in economics: theory, methodology, practice (pp. 566–592). Baltija Publishing. https://doi.org/10.30525/978-9934-26-407-8-26

Mishchenko, V., & Tishchenko, I. (2024). Methodological principles for forming the mechanism of digitalization's impact on ensuring nationally rooted resilience and security of economic development. Entrepreneurship and Innovation, 32, 71–80 [in Ukrainian]. https://doi.org/10.32782/2415-3583/32.11

OECD. (2019). Recommendation of the Council on Artificial Intelligence. https://oecd.ai/en/assets/files/OECD-LEGAL-0449-en.pdf

OECD. (2024). Regulatory Approaches to Artificial Intelligence in Finance. https://www.oecd.org/en/publications/regulatory-approaches-to-artificialintelligence-in-finance_f1498c02-en.html

Rajawat, A. S., Goyal, S. B., Potgantwar, A., Solanki, R. K., Panse, P., & Upadhyay, A. R. (2024). Harnessing the Synergy of Blockchain, Artificial Intelligence, and Sustainable Energy for a Greener Future / Intelligent Computing and Optimization. Springer. https://doi.org/10.1007/978-3-031-50887-5_3

Salah, K., Rehman, M. H., Nizamuddin, N., & Al-Fuqaha, A. (2018). Blockchain for AI: review and open research challenges. https://www.researchgate.net/publication/330009592_Blockchain_for_AI_Review_and_Open_Research_Challenges

Salama, R., Cacciagrano, D., & Al-Turjman, F. (2025). Connecting AI and Blockchain to Improve Security of Financial Services. In Advances on P2P, Parallel, Grid, Cloud and Internet Computing (pp. 67–77). Springer. https://doi.org/10.1007/978-3-031-76462-2_7

Sookhak, M., Jabbarpour, M. R., Safa, M. R., & Yu, F. R. (2021). Blockchain and smart contract for access control in healthcare: A survey, issues and challenges, and open issues. Journal of Network and Computer Applications, 178, 102950. https://doi.org/10.1016/j.jnca.2020.102950

The Global Artificial Intelligence Index (2025). https://www.tortoisemedia.com/_app/immutable/assets/AI-Methodology-2409.BGTLUPC-.pdf

Verkhovna Rada of Ukraine (2020). Concept of artificial intelligence development in Ukraine [in Ukrainian]. https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text

Vikhyath, K., Sanjana, R., & Vismitha, N. (2022). Intersection of AI and Blockchain Technology: Concerns and Prospects /The International Conference on Deep Learning, Big Data and Blockchain, 309, 53–66. Springer. https://doi.org/10.1007/978-3-030-84337-3_5

Wang, S., Zhang, J., & Zhang, T. (2024). AI-enabled blockchain and SDNintegrated IoT security architecture for cyber-physical systems. Advanced Control for Applications, 6(2), e131. https://doi.org/10.1002/adc2.131

WEF (2024). Global cybersecurity outlook 2024. https://www3.weforum.org/docs/WEF_Global_Cybersecurity_Outlook_2024.pdf

WEF. (2025). AI in Action: Beyond Experimentation to Transform Industry. https://reports.weforum.org/docs/WEF_AI_in_Action_Beyond_Experimentation_to_Transform_Industry_2025.pdf

Zhong, H. (2025). The Integration of Artificial Intelligence and Blockchain: Applications and Challenges in Economic Security and Data Privacy. International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024), 73. https://doi.org/10.1051/itmconf/20257303011

Published

2025-07-27

How to Cite

Mishchenko, S. ., Naumenkova, S. ., & Tishchenko І. . (2025). THE SYNERGY OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGIES IN THE FINANCIAL SECTOR. Bulletin of Taras Shevchenko National University of Kyiv. Economics, 2 (227), 54-64. https://doi.org/10.17721/1728-2667.2025/227-2/7

Most read articles by the same author(s)