The integration of Artificial Intelligence (AI) into Financial Technology (FinTech) has emerged as a key enabler of financial inclusion and entrepreneurial growth, particularly in developing economies. This research explores the impact of AI-enhanced FinTech solutions on enhancing access to financial services and fostering entrepreneurial opportunities. The study highlights how AI technologies, such as machine learning and natural language processing, are used to address key challenges in traditional banking, including credit access, fraud detection, and financial literacy. The paper explores the role of AI in bridging the gap between underserved populations and formal financial systems, with a particular focus on emerging markets in Africa and Asia. The findings show that AI-driven platforms have empowered millions of previously excluded individuals by enabling access to microcredit, insurance, and savings products. However, the study also addresses concerns regarding algorithmic biases, data privacy, and the digital divide, which may limit the effectiveness of AI in achieving inclusive growth. The empirical evidence underscores the need for tailored regulatory frameworks that promote innovation while safeguarding vulnerable populations. The paper concludes with policy recommendations aimed at fostering a conducive ecosystem for AI-powered FinTech in developing countries, emphasizing the importance of digital literacy, ethical AI governance, and cross-border regulatory cooperation. This review provides critical insights into the intersection of AI, FinTech, and economic development, offering a comprehensive understanding of how these innovations can be harnessed for sustainable financial inclusion.
OYEDOKUN et al. (Thu,) studied this question.
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