The Public Distribution System (PDS) is one of India’s most important welfare mechanisms for protecting poor and vulnerable households from hunger and food insecurity. Despite its wide reach, the system continues to face serious challenges such as leakages, incorrect identification of beneficiaries, uneven distribution, delays, and lack of transparency in delivery. These problems reduce the overall effectiveness of the PDS and limit its role in ensuring food access for all. In this context, Artificial Intelligence (AI) is emerging as a promising tool to improve the functioning of welfare systems through better data use, faster decision-making, and more efficient service delivery. This chapter discusses how AI can contribute to making the PDS more transparent, better targeted, and more responsive to people’s needs. AI can support the identification of genuine beneficiaries, track food grain movement, detect irregularities, forecast demand, and strengthen monitoring and grievance handling. Such improvements can help reduce corruption, minimize errors, and ensure that food support reaches the right people at the right time. However, the use of AI also raises concerns about digital exclusion, privacy, data quality, and fairness. The chapter argues that AI should not replace human responsibility but should be used carefully as a supportive tool within an inclusive and accountable governance framework. A balanced use of technology can strengthen the PDS and contribute meaningfully to hunger reduction in India.