Artificial Intelligence (AI) in the Fintech Sector:An Employee Perception
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https://doi.org/10.14419/m2qkap36
Received date: November 17, 2025
Accepted date: January 23, 2026
Published date: February 15, 2026
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Artificial Intelligence (AI), Fintech, Data analytics, Predictive Analysis, Employee Perception, ANOVA -
Abstract
Artificial intelligence (AI) is revolutionizing the financial industry through automation, enhanced client interactions, and data analytics. Its primary functions include automating banking processes to optimize productivity and reduce human error, improving decision-making in asset management and loan evaluations, and facilitating faster transaction processing. AI enhances client experience by personalizing recommendations and providing 24/7 support via chatbots. Additionally, AI-driven analytics offer insights into consumer behavior and help financial firms tailor services. The study also examined the implications of AI from an employee perspective. The study found that, according to the survey among employees, 27% of Fintech workers are female and 73% male, with senior employees comprising 55% of the workforce. Most workers are in payment-related industries (57%), while awareness of AI is high, as 73% are extremely familiar with it. Over 73% of companies use AI, mainly for customer service and risk assessment, though 35% report a lack of qualified workers as a barrier. Employees believe AI improves time management (85%), but have mixed views on productivity benefits. Ethical concerns about data privacy are acknowledged, and 63% feel AI can manage customer inquiries effectively, while 85% believe AI could significantly transform the Fintech sector. The study opined that Gender differences were found to significantly influence the challenges organizations face in implementing AI technologies, followed by factors such as organizational transformation, customer experience, usage and adoption of AI in fintech operations, familiarity with AI technologies, industry segment, and job position. However, AI has its drawbacks and restrictions in finance, such as data security and privacy issues. To reduce these risks, AI systems must be fair and transparent, with ethical standards and routine audits being used to detect and correct biased results.
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References
- Datar, M. P., & Pradhan, S. Artificial Intelligence And Employee Perception: An Empirical Study On Selected Bank Employees Of Vadodara City.
- Milkus, K. (2024). Influence of perception an employee has on artificial intelligence on its adoption in the workplace (Doctoral dissertation, Vilniaus universitetas).
- Tad, M. C., Mohamed, M. S., Samuel, S. F., & MJ, D. (2023). ARTIFICIAL INTELLIGENCE AND ROBOTICS AND THEIR IMPACT ON THE PERFORMANCE OF THE WORKFORCE IN THE BANKING SECTOR. Environmental & Social Management Journal/Revista de Gestão So-cial e Ambiental, 17(6). https://doi.org/10.24857/rgsa.v17n6-012.
- Roh, T., Park, B. I., & Xiao, S. S. (2023). Adoption of AI-enabled Robo-advisors in Fintech: Simultaneous Employment of UTAUT and the Theory of Reasoned Action. Journal of Electronic Commerce Research, 24(1), 29-47.
- Ashta, A., & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and micro-finance. Strategic Change, 30(3), 211-222. https://doi.org/10.1002/jsc.2404.
- Jakšič, M., & Marinč, M. (2019). Relationship banking and information technology: The role of artificial intelligence and FinTech. Risk Management, 21, 1-18. https://doi.org/10.1057/s41283-018-0039-y.
- Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Indus-trial Management & Data Systems, 119(7), 1411-1430. https://doi.org/10.1108/IMDS-08-2018-0368.
- Giudici, P. (2018). Fintech risk management: A research challenge for artificial intelligence in finance. Frontiers in Artificial Intelligence, 1, 1. https://doi.org/10.3389/frai.2018.00001.
- Rasiwala, F. S., & Kohli, B. (2021). Artificial intelligence in fintech: Understanding stakeholders perception on innovation, disruption, and transfor-mation in finance. International Journal of Business Intelligence Research (IJBIR), 12(1), 48-65. https://doi.org/10.4018/IJBIR.20210101.oa3.
- Yalamati, S. (2022). Fintech Risk Management: Challenges For Artificial Intelligence in Finance. International Journal of Advances in Engineering Research, 24(5), 1-67.
- Cao, L., Yang, Q., & Yu, P. S. (2021). Data science and AI in FinTech: An overview. International Journal of Data Science and Analytics, 12(2), 81-99. https://doi.org/10.1007/s41060-021-00278-w.
- Ambika, Dr.Mahammad Rafee, Dr.Mohammed Arif Pasha. (2020). A Study On Impact Of Artificial Intelligence In Financial Services Of Private Banks In Bangalore. IOSR-JEF, 11(4), 34–38. http://www.iosrjournals.org/iosr-jef/papers/Vol11-Issue4/Series-6/E1104063438.pdf.
- Dr.B.Mahammad Rafee, Dr.Gurusamy, Dr.Gunaseelan. (2020). Emergence of E-Finance – Opportunities and Challenges in India . Journal of Inter-disciplinary Cycle Research, 11(12), 147–157.
- AI in Fintech: 10 Use Cases in Financial Services. (n.d.). https://brainhub.eu/library/ai-in-fintech-applications-use-cases.
- Rafee, M., & Kumar, A. (2024). Emergence of Digital Rupee: Challenges and Opportunities. International Journal of Social Sciences and Commerce, 1(1), 7–11.
- Dr. B. Mahammad Rafee, Prof. Vijayalaxmi Ramesh, Dr. S. Jaber AAsan, Dr. Amzad Basha Kolar, Mr. S. Mohammed Zaheed. (2022). A Survey on Implications of Cashless Payments on the Spending Patterns of Urbanites in the Era of Digital India. International Journal of Early Childhood Special Education (INT-JECS), 14(7), 2040–2048.
- Rafee, M. B. (2024). Digital India and economic growth – An overview. International Journal of Social Sciences and Commerce, 1(1), 53 – 60.
- Artificial Intelligence in Fintech. (2022, March 31). Moqod | Software Development. https://moqod.com/blog/ai-fintech/.
- Myzuka, R. (2022, December 6). AI in Fintech: Top 8 Use Cases with Examples | Binariks. Binariks. Retrieved November 21, 2024, from https://binariks.com/blog/artificial-intelligence-in-fintech/.
- Spadaro, R. (2023, August 3). 5 Ways AI Is Influencing the Fintech Ecosystem. https://www.yoh.com/blog/5-ways-ai-is-influencing-the-fintech-ecosystem.
- Gupta, E. (2024, June 24). The AI-Fintech connection: Transforming the financial ecosystem. Hindustan Times. https://www.hindustantimes.com/ht-insight/future-tech/the-ai-fintech-connection-transforming-the-financial-ecosystem-101719211195713.html.
- TechAhead. (2024, July 17). AI in FinTech: 7 Ways AI is revolutionizing Finance industry. https://www.techaheadcorp.com/blog/ai-in-fintech/.
- Efimova, D. (2024, July 24). AI in the Fintech Industry: Your 2024 Guide. https://startups.epam.com/blog/ai-in-fintech.
- Kapuściński, M. (2024, August 9). AI in the Fintech Market: Usage and Future Transformation | TTMS. TTMS. https://ttms.com/how-is-ai-in-the-fintech-market-used-and-transforming-its-future/.
- Nucci, A. (2024, November 7). Role of AI in Fintech. Aisera: Best Generative AI Platform for Enterprise. https://aisera.com/blog/ai-in-fintech/.
- Admin, & Admin. (2024, November 7). Generative AI in FinTech: Benefits, Use Case, Real World Examples, Best Practices & More. Rishabh Soft-ware. https://www.rishabhsoft.com/blog/generative-ai-in-fintech.
- Nucci, A. (2024b, November 7). Role of AI in Fintech. Aisera: Best Generative AI Platform for Enterprise. https://aisera.com/blog/ai-in-fintech/#:~:text=AI%20in%20Fintech%20is%20characterized,computing%20to%20empower%20financial%20institutions.
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How to Cite
Zaheed , D. S. M. ., M. , L. D. ., Mohideen , D. A. J. H. ., Rafee , D. B. M. ., Jakith , M. A. ., Khatoon , D. S. ., & Mohamed , D. M. A. R. . (2026). Artificial Intelligence (AI) in the Fintech Sector:An Employee Perception. International Journal of Accounting and Economics Studies, 13(2), 185-192. https://doi.org/10.14419/m2qkap36
