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A Study on the Role of Artificial Intelligence in Financial Services
S K Shafiya, K. Jayasree, K. Prasanthi, K. Nithyasri
Department of MBA, Andhra Loyola College, Vijayawada, Andhra Pradesh, India
Abstract
By enhancing productivity, accuracy, and client satisfaction, artificial intelligence (AI) is progressively changing the financial services industry. Examining the role of AI in financial services and analysing user satisfaction, adoption, and views across various demographic groups are the main goals of this study. Convenience sampling was used to gather primary data from 100 respondents for the study. The hypotheses were tested between variables including age, income, occupation, and gender were examined using statistical techniques like ANOVA and Chi-square tests. According to the findings, there is no discernible variation in the degree of customer satisfaction with AI use among various age, occupational, and income categories. Furthermore, there was no discernible variation between demographic characteristics and the use of AI, recommendations, privacy issues, or user experience. These results show that AI-based financial services are extensively used and offer a consistent user experience for a variety of demographics. In summary, AI has a transformational and inclusive function in financial services, providing customers with similar benefits regardless of their demographics. However, to guarantee ongoing trust and successful application of AI technology in financial services, issues pertaining to data security and privacy must be resolved.
Keywords: Artificial Intelligence (AI), Financial Services, Customer Satisfaction, Data Privacy, User Experience.
References
- A. Yuniawan, H. Hersugondo, F. Mas’ud, H. Latan, and D. W. S. Renwick, “Determinants of Artificial Intelligence Adoption in the Financial Services Industry: Understanding Employees’ Perspectives,” International Journal of Information Management Data Insights, vol. 5, no. 2, p. 100371, Sep. 2025. https://doi.org/10.1016/j.jjimei.2025.100371
- C. Liu, J. Gao, and Z. Liu, “Artificial Intelligence, Financial Resource Allocation, and the Service Capacity of Sports Research Institutions,” Finance Research Letters, vol. 100, p. 109967, Apr. 2026. https://doi.org/10.1016/j.frl.2026.109967
- M. Akhtar, A. Salman, K. A. Ghafoor, and M. Kamran, “Artificial Intelligence, Financial Services Knowledge, Government Support, and User Innovativeness: Exploring the Moderated-Mediated Path to FinTech Adoption,” Heliyon, vol. 10, no. 21, p. e39521, Oct. 2024. https://doi.org/10.1016/j.heliyon.2024.e39521
- Y. Tian, D. Zhu, R. Nazar, S. Ali, and A. Mirza, “From Algorithms to Access: Role of Artificial Intelligence in Revolutionizing Financial Inclusion,” Technology in Society, vol. 84, p. 103098, Oct. 2025. https://doi.org/10.1016/j.techsoc.2025.103098
- Y. Feng, T. Yan, and J. Guo, “Assessing the Global Impact of Artificial Intelligence on Energy Resilience: The Role of Financial Inclusion,” Socio-Economic Planning Sciences, vol. 103, p. 102380, Nov. 2025. https://doi.org/10.1016/j.seps.2025.102380
- A. E. Cil and K. Yildiz, “A Systematic Literature Review on Applications of Explainable Artificial Intelligence in the Financial Sector,” Internet of Things, vol. 33, p. 101696, Jul. 2025. https://doi.org/10.1016/j.iot.2025.101696
- J. Fu, Y. Liu, and L. Jiang, “Artificial Intelligence Technology Application and Corporate Green Productivity: A Study on Financial Transmission Mechanisms,” Finance Research Letters, vol. 101, p. 109936, Apr. 2026. https://doi.org/10.1016/j.frl.2026.109936
- H. Zhu, O. Vigren, and I.-L. Söderberg, “Implementing Artificial Intelligence Empowered Financial Advisory Services: A Literature Review and Critical Research Agenda,” Journal of Business Research, vol. 174, p. 114494, Jan. 2024. https://doi.org/10.1016/j.jbusres.2023.114494
- J. Zhang and M. Piao, “The Impact of Artificial Intelligence on Firms’ Financialization: The Mediating Effects of Labor Productivity,” International Review of Economics & Finance, vol. 102, p. 104322, Jun. 2025. https://doi.org/10.1016/j.iref.2025.104322
- P. K. Ozili, “Artificial Intelligence (AI), Financial Stability and Financial Crisis,” in Elsevier eBooks, 2024, pp. 591–595. https://doi.org/10.1016/B978-0-443-13701-3.00487-4
- D. N. M. Maleki, S. Abbaskhani, A. Farhadi, and A. Zamanifar, “Artificial Intelligence Methods for Financial Market Prediction: A Systematic Review,” Computers & Electrical Engineering, vol. 134, p. 111110, Mar. 2026. https://doi.org/10.1016/j.compeleceng.2026.111110
- S. Avinash, P. V. S. Sairam, and G. Sravan Kumar, “Digital Transformation and Artificial Intelligence in Aviation Management: A Systematic Review of Emerging Trends and Business Implications,” International Journal of Emerging Research in Science Engineering and Management, vol. 2, no. si1, pp. 110–117, May 2026. https://doi.org/10.66710/ijersem.v2si1.14
