Assessment of Artificial Intelligence Tools Adoption and Workforce Optimisation in The Fintech Industry
Keywords:
Artificial Intelligence, Optimisation, Technology, Tools, WorkforceAbstract
The adoption of artificial intelligence (AI) tools and workforce optimization pose unique challenges in both developed and developing nations. This study investigates the adoption of artificial intelligence (AI) tools and their impact on workforce optimization in Nigeria's fintech sector, where only about 20% of financial institutions currently utilize AI. Challenges such as regulatory constraints, inadequate infrastructure, and skills shortages hinder progress. An explanatory research design was employed, focusing on supervisors and managers from the top five fintech companies: Flutterwave, Interswitch, Paystack, Carbon, and Paga. A structured questionnaire was distributed via Google Forms, yielding 191 valid responses, representing an 80% return rate. Data analysis was conducted using SPSS. The results reveal a significant relationship between AI tool adoption and workforce optimization (Sβ = 0.768; R² = 0.590; F = 15.895; Tval = 10.836; Pval = 0.000). The Sβ value indicates a strong correlation, with AI accounting for 59% of the variance in workforce optimization. These findings highlight the essential role of AI in enhancing operational efficiency and productivity, suggesting that Nigerian fintech firms should prioritize AI adoption to foster innovation and maintain competitiveness in an evolving financial landscape.
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Copyright (c) 2025 Adeyinka Mutiu Abiodun , Joy Onyinyechi Ekwoaba

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.