The Indian educational system is one of the largest and most varied globally. However, numerous challenges persist, especially the disparity in education standards between urban and rural regions of the nation. The chapter examines the potential of artificial intelligence to bridge the gap and improve the system’s academic standards. In this study, the primary focus is on K-12 education. The study begins by understanding the current scenario encompassed by the inadequate availability of quality education, particularly in rural areas and the scarcity of teachers. The application of AI is explored in terms of curated learning experiences to assess and provide effective feedback for improvement and to develop novel resources and tools for educators and learners. The barriers obstructing the growth of AI in education are also examined, such as poor infrastructure and connectivity and lack of sufficient training to handle AI-equipped tools and resources. The research establishes that GDP and government spending drive the number of schools, literacy, and dropout rates, with investments improving learning and reducing disparity. AI-driven solutions can be incorporated for optimal use and allocation of resources to bridge the rural–urban divide and foster long-term growth. The study concludes with issues and problems in urban and rural areas and provides suggestions.