Artificial Intelligence Structured Investment and Financial Performance of Deposit Money Banks in Nigeria
DOI:
https://doi.org/10.64137/31079423/IJEBMR-V2I3P104Keywords:
AI-Structured Investment, AI-Software Book Value, AI Software Expense Disclosure, AI-Enabled Operational Automation (Chatbots), Bank Size, Return on AssetsAbstract
This study examines artificial intelligence-structured investments and the financial performance of deposit money banks in Nigeria using Return on Assets (ROA) as a proxy for financial performance. This study specifically examines the impact of AI software book value, AI software expenses disclosure, AI operational automation using chatbots, and bank size on ROA. This paper uses an ex post facto research design and secondary data from ten purposively selected DMBs listed on the Nigerian Exchange Group from 2015 to 2024. From the empirical analysis, this paper finds that AI software book value, AI software expenses disclosure, and AI operational automation using chatbots have a positive and significant impact on the return on assets of banks in Nigeria. This paper also finds that bank size has a positive impact on return on assets. This paper concludes that AI-structured investments have a significant impact on asset utilization in Nigeria. This paper recommends that banks in Nigeria invest more in AI infrastructure and invest in staff capacity in AI technologies, and that the regulatory authority in Nigeria design guidelines for AI adoption in banks.
References
[1] Adewumi, O., Melikam, W., & Ige, O. T. (2023). Adoption of financial technology and performance of deposit money banks in Nigeria. Futurity Economics & Law, 3(2), 95–114. https://doi.org/10.57125/FEL.2023.03.25.07
[2] Akerlof, G. A., & Shiller, R. J. (2015). Phishing for phools: The economics of manipulation and deception. Princeton University Press. https://doi.org/10.2307/j.ctvc777w8
[3] Jay B. Barney. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
[4] Central Bank of Nigeria (CBN). (2025). Statistical Bulletin and Annual Report for the Year 2024. Abuja: CBN Press.
[5] Eketu, C. A., Joseph, B. N., & Uelee, M. N. (2023). Artificial intelligence adoption and organizational performance of money deposit banks in Rivers State, Nigeria. International Journal of Academic Information Systems Research, 7(4), 6–17.
[6] Olowookere, J. K, & Ibrahim, J. (2026). Artificial intelligence as a catalyst for enhancing financial reporting quality among listed deposit money banks in Nigeria. Indonesian Management and Accounting Research, 25(1), 37–56. https://doi.org/10.25105/v25i1.24021
[7] Tian, X., Tian, Z., Khatib, S. F. A., & Wang, Y. (2024). Machine learning in internet financial risk management: A systematic literature review. PLoS ONE, 19(4), e0300195. https://doi.org/10.1371/journal.pone.0300195
[8] Isaac, O. I., & Jimoh, D. (2025). Effect of artificial intelligence on the financial performance of deposit money banks in Nigeria. International Journal of Economics, Business and Management Research, 9(8), 17–45. https://doi.org/10.51505/IJEBMR.2025.9802
[9] Jabin, S., Akhand, M. A. H., & Siddique, N. (2023). AI-structured investments: Big data analytics in portfolio optimization. Expert Systems with Applications, 213, 119–134. https://doi.org/10.3390/app132111843
[10] M. C. Jensen and W. H. Meckling, “Theory of the firm: Managerial behavior, agency costs and ownership structure,” Journal of Financial Economics, vol. 3, no. 4, pp. 305–360, Oct. 1976, doi: https://doi.org/10.1016/0304-405X(76)90026-X.
[11] Mhlanga, D. (2023). Artificial Intelligence in the industry 4.0, and its impact on poverty, innovation, and financial inclusion. Sustainability, 15(3), 1–18. DOI: https://doi.org/10.3390/su15031718
[12] Mogaji, E., Soetan, T. O., & Nguyen, N. P. (2023). The opportunities and challenges of artificial intelligence in banking: Systematic literature review and future research agenda. Journal of Financial Services Marketing, 28(2), 211-232. https://doi.org/10.1057/s41264-022-00143-x
[13] Samuel-Ogbu, I. (2022). Digital technology and the transformation of the Nigerian banking system: The operators' perspective. CBN Economic and Financial Review, 60(4), 133–150. https://doi.org/10.33429/1957-2968.2090
[14] Mohammed, Z., Ibrahim, U. A., & Muritala, T. A. (2022). Effect of payments system innovations on the financial performance of commercial banks in Nigeria. Journal of Service Science and Management, 15(1), 35–53. https://doi.org/10.4236/jssm.2022.151004
[15] Olanrewaju, A., & Odeyemi, O. (2022). Artificial intelligence and corporate financial performance: Evidence from Nigerian commercial banks. Journal of African Business, 23(4), 455–472. https://doi.org/10.1080/15228916.2021.1964519
[16] Onyia, C. C., Agu, B. O., & Ogbonna, O. B. (2025). Impact of digital financial services innovation on the performance of deposit money banks in Nigeria, 2012 to 2024. East African Finance Journal, 5(1). https://doi.org/10.59413/eafj/v5.i1.9
[17] Omaliko, E. L. (2026). NEO artificial intelligence investments and financial performance of listed deposit money banks in Nigeria. International Journal of Innovative Finance and Economics Research. https://doi.org/10.5281/zenodo.19514452
[18] Pandey, I. M. (2022). Financial management. Internet Archive. https://archive.org/details/financialmanagem0000impa
[19] Rogers, “Rogers, E.M. (1962) Diffusion of Innovations. Free Press, New York. - References - Scientific Research Publishing,” www.scirp.org, 1962. https://www.scirp.org/reference/referencespapers?referenceid=2008938
[20] Salemcity, A., Aiyesan, O. O., & Japinye, A. O. (2023). Artificial intelligence adoption and corporate operating activities of deposit money banks. European Journal of Accounting, Auditing and Finance Research, 11(11), 17–33. DOI: 10.37745/ejaafr.2013/vol11n111733.
[21] Sanusi, L. S. (2024). The structural challenges of the Nigerian financial system in a post-pandemic era. University Press PLC.
[22] Vyshnevskyi, O. (2024). AI as a mitigator of information asymmetry within platform strategiarchy logic. Economic Herald of the Donbas, 4(78), 5–11. https://doi.org/10.12958/1817-3772-2024-4(78)-5-11
