The Indian government will implement artificial intelligence to select beneficiaries, manage ration delivery, and handle consumer complaints within the Public Distribution System [1].
This modernization effort targets the core of India's food security infrastructure. By automating beneficiary selection and grievance redressal, the government aims to reduce leakages and improve the efficiency of food aid delivery to the nation's most vulnerable populations.
The Union Cabinet, chaired by Prime Minister Narendra Modi, said it announced the initiative to overhaul the nationwide system [1]. The program is scheduled to run from April 2026 to March 2031 [1].
Under the new framework, AI tools will be used to modernize how the government identifies eligible citizens for ration benefits. The system will also be utilized to track the delivery of rations, and process complaints from consumers to ensure accountability [1].
This reform is expected to impact nearly 80 crore ration beneficiaries [2]. The scale of the rollout reflects the government's push to integrate advanced technology into large-scale social welfare programs, a move intended to streamline bureaucratic processes.
The transition to AI-driven registration and management is part of a broader strategy to modernize the PDS. The government said the tools will enhance the accuracy of beneficiary lists and the speed of grievance redressal [1].
“The government will implement artificial intelligence to select beneficiaries, manage ration delivery, and handle consumer complaints.”
The integration of AI into the Public Distribution System represents a significant shift toward algorithmic governance in India's social safety net. While the government expects increased efficiency and reduced corruption, the scale of the project—affecting roughly 800 million people—means that any technical errors in the AI's selection process could lead to widespread exclusion of eligible citizens from essential food supplies.
