Financial inclusion is vital for economic development and poverty reduction, and integrating generative artificial intelligence (AI) into financial services offers transformative potential. Despite its promise, financial inclusion faces obstacles such as accessibility, affordability, and usability of financial services, affecting various regions and demographics. Generative AI can overcome these barriers by enhancing credit scoring, offering personalized financial recommendations, and improving financial literacy. For example, data augmentation techniques, including synthetic data generation, can improve credit scoring models in underrepresented regions. Personalized financial advice from AI-driven Robo-Advisors can meet diverse needs, fostering individual financial inclusion. Text generation techniques can enhance financial education for marginalized communities. However, deploying AI responsibly is crucial, addressing ethical and privacy concerns to ensure technology benefits all individuals. Privacy-preserving techniques and regulatory frameworks are needed to protect consumer data and ensure equitable access to AI-driven services. Collaboration among policymakers, practitioners, and researchers is essential for maximizing AI's impact on financial inclusion. The chapter concludes by highlighting the future challenges and research avenues, emphasizing the importance of collaborative efforts and conscious innovation. By exploring these topics, it aims to demonstrate how generative AI can promote socioeconomic equity and create a more inclusive financial landscape globally.