AI-Driven Banking Technologies: Exploring Consumer Adaptation and Sentiments towards Future Finance

Authors

  • Charmee Shah Ph.D scholar, GLS University, Gujarat Author
  • Apeksha Champaneri Assistant Professor, GLS University, Gujarat Author

DOI:

https://doi.org/10.69974/glskalp.05.03.03

Keywords:

Artificial Intelligence (AI), Banking, Consumer, Fintech, Adoption

Abstract

Financial institutions are being reformed by AI which helps streamline tasks, improves customer interactions and encourages new financial ideas. Banks now use predictive analytics, chatbots for customer service, technology used for catching fraud and personal advice on money management. This study investigates how consumers adapt to AI in banking and looks at their feelings about these developments.

It applies mixed methods by using surveys, interviews and sentiment analysis, helping it to understand consumers and what they prefer. It was found that individuals like the benefits AI brings, for example, being quick, customizable and easy, but many people are still worried about how safe their data is and about ethical and trustworthy issues.

It highlights the aspects that financial institutions must handle such as strengthening trust, providing transparent AI and delivering solutions adjusted to customer groups. The results can guide banks, fintech start-ups and policymakers in making AI-based banking technologies more accepted by consumers. Studies in the future might look at how blockchain and quantum computing help with consumer issues and increase the use of AI in financial sectors.

References

Banker, R. D., Hu, N., Pavlou, P. A., & Luftman, J. N. (2019). Impact of AI on the Banking Sector. Journal of Financial Innovation, 6(2), 45-67.

Chandra, S., Srivastava, S. C., & Theng, Y.-L. (2021). AI Adoption in Banking: Behavioral Trends and Insights. MIS Quarterly, 45(1), 12-27.

Chen, J., Zhu, W., & Wang, Z. (2021). Consumer Trust and AI in Finance. Journal of Fintech Studies, 8(3), 56-70.

Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World.

Harvard Business Review, 96(1), 108-116.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., & Clement, M. (2021). AI in Banking: A Consumer Perspective. International Journal of Information Management, 58, 102-118.

Fuster, A., Plosser, M., Schnabl, P., & Vickery, J. (2019). The Role of Technology in Mortgage Lending. The Review of Financial Studies, 32(5), 1854-1899.

Gupta, M. (2017). Indian Banking System: . Journey from Traditional to Digital. , 5 (2), 12.

Jagtiani, J., & Lemieux, C. (2019). The Roles of Alternative Data and Machine Learning in Fintech Lending: Evidence from the LendingClub. Financial Management, 48(4), 1009-1029.

Kaur, J. (2017). Growth of E-banking in India. International Journal of Research in Finance and Marketing (IJRFM), , 7 (5), 88-94.

Kumar, A., Shankar, R., & Deb, S. (2020). Adoption Barriers to AI in Banking.

Technovation, 102, 101-115.

Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Trust and Privacy in AI Banking Applications. Computers & Security, 72, 129-142.

McKinsey & Company. (2020). AI in Banking: Unlocking Hidden Value. McKinsey Report. Retrieved from mckinsey.com.

Murinde, V. R. (2022). The impact of the FinTech revolution on the future of banking: Opportunities and risks. International Review of Financial Analysis , 102-103.

Ngai, E. W., Hu, Y., Wong, Y. H., Chen, Y., & Sun, X. (2011). The Application of Data Mining Techniques in Financial Fraud Detection. Expert Systems with Applications, 38(10), 13057-13064.

Reddy, K., Ramesh, S., & Nair, A. (2019). Enhancing Consumer Trust in AI. Journal of Consumer Studies, 42(4), 315-330.

Salunke, R. (2019). Role of Artificial Intelligence in Providing Customer Services with Special Reference to SBI and HDFC Bank. . International Journal of Recent Technology and Engineering , 8 (4), 12251-12260.

Shah, S., Iyer, B., & Shinde, R. (2020). Personalization in AI Banking. Journal of Service Research, 23(2), 78-91.

Smith, A., & Dhillon, G. (2020). Future Finance: AI’s Role in Banking Innovation.

Financial Research Letters, 34, 101-111.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology. MIS Quarterly, 27(3), 425-478.

Vijai, C. (2019). Artificial intelligence in indian banking sector: challenges and opportunities. International journal of advanced research , 7 (4), 1581–1587.

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2017). Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities. Journal of Business Research, 70, 356-365.

World Economic Forum. (2021). AI Transforming Banking: Insights from the Financial Sector. WEF Report. Retrieved from weforum.org.

Yu, S., & Xu, K. (2019). AI-Enabled Banking Services: A Customer-Centric Perspective.

Journal of Financial Services Marketing, 24(3), 125-140.

Zeng, Y., Lu, E. Y., & Huang, C. C. (2021). Consumer Acceptance of AI in Financial Services: A Meta-Analysis. Journal of Consumer Behavior, 20(2), 45-58.

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Published

2026-02-27

How to Cite

AI-Driven Banking Technologies: Exploring Consumer Adaptation and Sentiments towards Future Finance. (2026). GLS KALP: Journal of Multidisciplinary Studies, 5(3), 24-37. https://doi.org/10.69974/glskalp.05.03.03