Abstract
Financial inclusion remains a critical challenge in emerging markets, particularly among low-income and rural populations, where vulnerability to climate shocks exacerbates economic insecurity. Recent advancements in artificial intelligence (AI) offer innovative pathways to expand access to financial services, improve credit assessment, and enhance resilience. This study examines the role of AI-driven financial solutions in fostering inclusive and climate-adaptive finance, drawing on three case studies: M-KOPA in Kenya, TymeBank in South Africa, and AI-supported smart agriculture finance in Thailand. Using a mixed-methods approach, the research combines qualitative insights from 1,500 semi-structured customer interviews with quantitative analysis of transaction records, loan repayment histories, and account activity. Findings indicate that AI-enabled platforms significantly improve credit access, promote savings behavior, and reduce vulnerability to climate-related income shocks. The study highlights gendered impacts, with women exhibiting higher adoption and savings patterns, and demonstrates how predictive AI models can facilitate climate-resilient decision-making in agriculture. Challenges identified include digital literacy gaps, infrastructure limitations, data privacy concerns, and the potential for exclusion due to limited digital footprints. The study concludes that integrating AI into financial ecosystems can strengthen both economic and climate resilience, provided that regulatory frameworks, ethical AI practices, and capacity-building measures are simultaneously addressed. The insights offer guidance for policymakers, financial institutions, and development agencies seeking to leverage technology for inclusive and sustainable financial systems.
