Artificial Intelligence (AI) in the Fintech Sector:An Employee Perception

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Authors: S. Mohammed Zaheed, Lakshmi Devi. M., A.J. Haja Mohideen, B. Mahammad Rafee, Mr.A. Ahamed Jakith, Sogra Khatoon, M. A. Raja Mohamed
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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.

Fields of Study & Subjects

Digital Transformation in Financial Services Artificial Intelligence Applications FinTech Crowdfunding Digital Finance

Publication details

Journal / source
International Journal of Accounting and Economics Studies
Volume
13
Issue
2
Pages
185–192
Publication date
15 February 2026
Language
EN