2.5

CiteScore

8.8

Global Impact Factor

IMPACT OF ARTIFICIAL INTELLIGENCE ON BANKING SECTOR


Paper ID: EIJTEM_2026_13_1_82-92

Author's Name: Siva Hari Naga Shashank Varagani

Volume: 13

Issue: 1

Year: 2026

Page No: 82-92

Abstract:

The study's overarching goal is to ascertain how AI will change the banking industry. There has been a meteoric rise in the usage of AI in banking in the last several years, and this essay will attempt to weigh the pros and cons of that trend. An examination of the many applications of artificial intelligence (AI) in banking, including customer service, fraud detection, risk management, and investment analysis, follows an introduction to the field's evolution and background. Concerns about privacy, algorithmic biases, and the absence of human supervision are some of the ethical and regulatory issues covered in the article as they pertain to the application of AI in banking. This research paper summarizes the impact that artificial intelligence has had so far on the banking industry and how it has changed the game.

Keywords: Artificial Intelligence, Digital disruption, Banking sector.

References:

1) Ankur Aggarwal, D. (. (2022). A study of the scope of artificial intelligence in customer experience in banking sector in India . International Journal of Advance and Innovative Research, 3-7.
2) Board, F. S. (2017). Financial Stability Implications from FinTech. Financial Stability Board.
3) Chandrima Bhattacharya, D. M. (2022). Role of Artificial Intelligence in Banking for Leveraging. AABFJ, 7-84.
4) Hickam Sadok, F. S. (2022). Artificial intelligence and bank credit analysis: A review. Cogent Economics & Finance, 2-10.
5) Mehrotra, A. (2019). Artificial Intelligence in financial services - Need to blend automation with human touch. ResearchGate, 2-6.
6) Neeraj Gupta, J. M. (2020). Ownership, bank size, capitalization and bank performance: Evidence from India. Cogent Economics & Finance, 4-34.
7) Omar H. Fares, I. B. (2022). Utilization of artificial intelligence in the banking sector: a systematic literature review. Journal of Financial Services Marketing, 3-15.
8) Report, I. (2020). Ai in Banking A Primer. IDBRT.
9) Saloni Tripathi, R. G. (2022). Role of Artificial Intelligence in the Banking Sector. International Journal of Research Publication and Reviews, 3-8.
10) Sindhu J, R. N. (2019). Impact of Artificial Intelligence in chosen Indian Commercial Bank
- A cost benefit analysis. Asian Journal of Management, 2-7.
11) Wójcik, Dariusz, & Ioannou, Stefanos. (2020). COVID‐19 and finance: market developments so far and potential impacts on the financial sector and centres. Tijdschrift Voor Economische En Sociale Geografie, 111(3), 387–400.
12) Sun, Huidong, Rabbani, Mustafa Raza, Sial, Muhammad Safdar, Yu, Siming, Filipe, José António, & Cherian, Jacob. (2020). Identifying big data’s opportunities, challenges, and implications in finance. Mathematics, 8(10), 1738.
13) Munirathinam, Sathyan. (2020). Industry 4.0: Industrial internet of things (IIOT). In Advances in computers (Vol. 117, pp. 129–164). Elsevier.
14) Rahmayati, Rahmayati. (2021). Competition Strategy In The Islamic Banking Industry: An Empirical Review. International Journal Of Business, Economics, And Social Development, 2(2), 65–71.
15) Madakam, Somayya, Holmukhe, Rajesh M., & Jaiswal, Durgesh Kumar. (2019). The future digital work force: robotic process automation (RPA). JISTEM-Journal of Information Systems and Technology Management, 16.
16) George, A. Shaji, & George, A. S. Hovan. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9–23.
17) Goodell, John W., Kumar, Satish, Lim, Weng Marc, & Pattnaik, Debidutta. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. Journal of Behavioral and Experimental Finance, 32, 100577.
18) Hassoun, Abdo, Aït-Kaddour, Abderrahmane, Abu-Mahfouz, Adnan M., Rathod, Nikheel Bhojraj, Bader, Farah, Barba, Francisco J., Biancolillo, Alessandra, Cropotova, Janna, Galanakis, Charis M., & Jambrak, Anet Režek. (2022). The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies. Critical Reviews in Food Science and Nutrition, 1–17.
19) Kavitha, M., Gnaneswar, G., Dinesh, R., Sai, Y. Rohith, & Suraj, R. Sai. (2021). Heart disease prediction using hybrid machine learning model. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 1329–1333. IEEE.
20) Kotabe, Masaaki Mike, & Helsen, Kristiaan. (2022). Global marketing management. John Wiley & Sons.

View PDF