Impact of Artificial Intelligence on Financial Services in Nigeria

Idris Aliyu; Iyere Samuel IHEONKHAN

doi:10.56201/jafm.vol.11.no3.2025.pg158.171

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Impact of Artificial Intelligence on Financial Services in Nigeria

Idris Aliyu, Iyere Samuel IHEONKHAN

Abstract

This study examines the impact of Artificial Intelligence (AI) on financial services in Nigeria, emphasizing its role in improving operational efficiency and customer experience. AI technologies, including machine learning, natural language processing, and predictive analytics, are increasingly adopted to streamline operations, enhance decision-making, and drive innovation. In Nigeria, the financial sector is gradually integrating AI to address inefficiencies, improve service delivery, and promote financial inclusion. However, challenges such as limited digital infrastructure, high costs, and regulatory uncertainties hinder widespread adoption. Using a quantitative approach, the study analyzes data from Nigerian financial institutions (2015–2024). Findings reveal that AI adoption significantly enhances operational efficiency by automating routine tasks and optimizing resources. Additionally, AI-driven tools improve customer satisfaction through personalized services and real-time support, particularly among tech-savvy users. Despite these advantages, barriers like infrastructural gaps, regulatory ambiguities, and cost constraints limit broader adoption, especially for smaller institutions. The study underscores the need for targeted policies, investments in digital infrastructure, and capacity-building to overcome these challenges. It concludes that AI is essential for innovation and competitiveness in financial services and provides actionable recommendations for policymakers, financial institutions, and researchers to foster inclusive and efficient AI-driven financial systems in Nigeria.

Keywords

Artificial intelligenceFinancial servicesOperational efficiencyCustomer

References

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Impact of Artificial Intelligence on Financial Services in Nigeria

Abstract

Keywords

References

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