Artificial Intelligence (AI) has emerged as a transformative tool in addressing financial exclusion and its impact on global poverty. By harnessing AI-driven innovations, financial services can be expanded to underserved populations, fostering economic inclusion and alleviating poverty. This paper explores the potential of AI technologies to enhance financial inclusion through predictive analytics, alternative credit scoring, and personalized financial products. AI-powered solutions enable microfinance institutions and fintech firms to evaluate creditworthiness using non-traditional data sources such as mobile phone usage and social media activity, effectively bypassing barriers associated with lack of credit history. Additionally, AI chatbots and virtual assistants offer cost-effective ways to deliver financial literacy programs, enabling low-income individuals to make informed financial decisions. The integration of AI into digital payment systems has also streamlined cross-border remittances and reduced transaction costs, directly benefiting migrant workers and their families. Moreover, AI's role in fraud detection and risk management ensures secure and efficient financial services, fostering trust among users. Governments and non-governmental organizations (NGOs) are leveraging AI-driven data analytics to design targeted social welfare programs, enhancing resource allocation and impact assessment. Despite these advancements, challenges such as data privacy concerns, algorithmic bias, and limited digital infrastructure in low-income regions persist. Addressing these issues requires collaborative efforts among policymakers, technology providers, and financial institutions to establish ethical guidelines and promote equitable access to AI-driven financial services. This paper highlights case studies of successful AI implementations in financial inclusion initiatives across Africa, Asia, and Latin America, emphasizing their scalability and replicability. The findings underscore the importance of AI in fostering economic empowerment, reducing inequalities, and advancing global poverty reduction goals. Future research should focus on overcoming digital divides, enhancing algorithmic transparency, and fostering public-private partnerships to maximize the potential of AI in achieving sustainable financial inclusion.