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Abstract
This study investigated the utilization of AI and the fear of job loss, seeking employees’ perceptions in Kenya’s banking industry. This study adopted a descriptive survey design. Data was collected with a self-designed questionnaire. Fifty-two employees from five selected banks in Nairobi participated in the study. The findings revealed that banks utilize AI in various aspects of operational and customer services, but highly in cybersecurity, fraud detection, and anticipating customer needs. The findings also revealed that 82.7% of the respondents perceived that the high utilization of artificial intelligence (AI) in the banking industry raises the fear of job loss as they considered consolidation of tasks for a few workers and reduced staff workforce as the threats associated to Artificial Intelligence (AI) utilization in the banking industry. The employees believe that their jobs could be secured by embracing the AI technology and skill improvement. Thus, the study recommends that bank authorities facilitate the adjustments of the bank employees as jobs are redesigned to enable their transition to AI-related positions.
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Copyright (c) 2025 Angela E. Nwaomah

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References
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- Schultz, T. W. (1961). Investment in cuman capital. The American Economic Review, 51(1), 1–17. http://www.jstor.org/stable/1818907
- Theuri, J. & Olukuru. J. (2022). The impact of Artificial Intelligence and how it is shaping Banking. KBA Centre for Research on Financial Markets and Policy®, Working Paper Series (61), 1-7.
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- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model. Management Science, 46(2), 186-204.
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References
Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style, and organizational performance. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2019.08.002
Acemoglu, D., & Restrepo, P. (2019). Artificial intelligence, automation, and work. NBER Working Paper No. 24196.
Akello, J. (2022). Policy Brief -Artificial Intelligence in Kenya in Ekai Nabenyo (eds.) Paradigm Initiative. Global Partners Digital, pp1-16.
Ali, N., & Atan, T. (2020). The impact of human resource management practices on sustainable performance in the banking sector: A comparative study between Islamic and conventional banks, 29(5), 1811-1826. https://doi.org/10.24205/03276716.2020.1177 .
Anfara Jr, V. A., & Mertz, N. T. (Eds.). (2014).Theoretical frameworks in qualitative research. Sage.
Baldwin, R. (2023). It's not AI that is going to take you job, but someone who knows how to use AI might, economist says. Business Insider Africa. https://africa.businessinsider.com/news/its-not-ai-that-is-going-to-take-you-job-but-someone-who-knows-how-to-use-ai-might/p471wqy
Becker, G. S. (1964). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. National Bureau of Economic Research, Columbia University Press.
Biswas, S., Carson, B., Chung, V., Singh, S., & Thomas, R. ( September, 2020). AI-bank of the future: Can banks meet the AI challenge? McKinsey & Company. https://www.mckinsey.com/industries/financial-services/our-insights/ai-bank-of-the-future-can-banks-meet-the-ai-challenge
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Cedersund, M. (2023). Artificial intelligence in banking - the future of the banking work environment (Master’s Thesis, Turku University of Applied Science). https://www.theseus.fi/bitstream/handle/10024/803304/Cedersund_Michel.pdf;jsessionid=6DAA125017074F85F5C7447457B8EB85?sequence=2
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Farishy, R. (2023). The use of artificial intelligence in banking industry. International Journal of Social Service and Research, 3(4), 1724-1731. https://doi.org/10.46799/ijssr.v3i7.447
Geetha, A. & M. G. R., (2021). A study on artificial intelligence (ai) in banking and financial services. International Journal of Creative Research Thoughts (IJCRT), 9(9), 110-114.
Georgieva, K. (2024). AI will transform the global economy. let’s make sure it benefits humanity. IMF Blog. https://www.imf.org/en/Blogs/Articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity
Ghodsi, M. (2024). The impact of artificial intelligence on employment: a new economic paradigm. Article of February 16, 2024. https://wiiw.ac.at/the-impact-of-artificial-intelligence-on-employment-a-new-economic-paradigm-n-620.html
Gomstyn, A., & Jonker, A. (2024). Exploring privacy issues in the age of AI. IBM's exploration of privacy risks in AI systems report. https://www.ibm.com/think/insights/ai-privacy
Holt, R. D., & Polis, G. A. (1997). A theoretical framework for intraguild predation. The American Naturalist, 149(4), 745-764.
Jan, A., Shakirullah, Naz, S., Khan, O., & Khan, A. Q. (2020). Marshal Mcluhan's technological determinism theory in the arena of social media. Theoretical and Practical Research in Economic Fields, 11(2), 133-137. https://doi.org/10.14505/tpref.v11.2(22).07
Kaur, G., Habibi Lashkari, Z., & Habibi Lashkari, A. (2021). Understanding Cybersecurity Management in FinTech: Challenges, Strategies, and Trends. Springer.
Keynes, J. M. (1930). Economic Possibilities for our Grandchildren. http://www.econ.yale.edu/smith/econ116a/keynes1.pdf
Lee, R. (2025). Securing AI in 2025: A risk-based approach to control and governance. The SANS Institute's guidelines on securing AI. https://www.sans.org/blog/securing-ai-in-2025-a-risk-based-approach-to-ai-controls-and-governance/
Molla, M. M. (2024). Artificial intelligence (AI) and fear of job displacement in banks in Bangladesh. International Journal of Science and Business, 42(1), 1-18. https://doi.org/10.58970/IJSB.2481
Nagarajan, G., Arunadevi, R., Banu, R., Umesh, U., Mohideen, A.S., Lakshmi, M.R. (2023). Artificial intelligence (AI) in banking industry and customers perspective. Journal of Survey in Fisheries Sciences 10(1) 1590-1596.
Nasrallah, N.M. (2021). Using Artificial Intelligence (AI) in Banking Services. Arab Monetary Fund Introductory Booklet Series (24). https://www.amf.org.ae/sites/default/files/publications/2022-01/booklet-series-issue-no-24-using-artificial-intelligence-ai-in-banking-services_0.pdf
Poba-Nzaou, P., Galani, M., Uwizeyemungu, S. and Ceric, A. (2021). The impacts of artificial intelligence (AI) on jobs: An industry perspective. Strategic HR Review, 20(2), pp. 60-65. https://doi.org/10.1108/SHR-01-2021-0003
Schultz, T. W. (1961). Investment in cuman capital. The American Economic Review, 51(1), 1–17. http://www.jstor.org/stable/1818907
Theuri, J. & Olukuru. J. (2022). The impact of Artificial Intelligence and how it is shaping Banking. KBA Centre for Research on Financial Markets and Policy®, Working Paper Series (61), 1-7.
The Economist Intelligence Unit Ltd. (2022). Banking on a game-changer: AI in financial services. Sponsored by TENENOS-The Banking Software Company https://sloanreview.mit.edu/projects/the-cultural-benefits-of-artificial-intelligence-in-the-enterprise/
The White House US-EU Trade and Technology Council (2021). The impact of artificial intelligence on the future of workforces in the European Union and the United States of America: An economic study prepared in response to the US-EU Trade and Technology Council Inaugural Joint Statement. https://www.whitehouse.gov/wp-content/uploads/2022/12/TTC-EC-CEA-AI-Report-12052022-1.pdf
Tripathi, M., Reddy, V. S., Pandey, G., Mittal, S.S., Daga, C., Poddar, N. K., & Thadhani, O.P. (2024). The impact of artificial intelligence on employment. International Scientific Journal of Engineering and Management, 3(3), 1-12. https://doi.org/10.55041/ISJEM01393
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model. Management Science, 46(2), 186-204.
West, R., & Turner, L.H. (eds). (2007). Introducing communication theory: analysis and application, (3rd ed.). McGraw-Hill.