This study investigates the transformative role of Artificial Intelligence (AI) in shaping the future of India's metro transit systems. As urbanization accelerates and mobility demands surge, metro systems face mounting pressure to deliver safer, more efficient, and sustainable services. The research aims to identify key areas within metro operations where AI can be integrated, evaluate its potential benefits, analyze existing challenges, and propose strategic pathways for successful implementation. Through a review of academic literature, real-world examples from Indian metros, and policy analyses, the study finds that AI technologies—such as predictive maintenance, automated train operations, intelligent surveillance, and real-time passenger information systems—offer significant opportunities to modernize India's metro networks. However, challenges including outdated infrastructure, data silos, high capital costs, workforce limitations, and the absence of robust regulatory frameworks impede full-scale AI adoption. The study concludes that while AI is no longer a futuristic concept but a present necessity, its sustainable integration requires a holistic, context-specific strategy involving technological upgrades, capacity building, stakeholder alignment, and policy reform. By achieving all its objectives, this research contributes a forward-looking roadmap for India to align its metro systems with global best practices and smart city aspirations.