IndiaAI Mission

Background and evolution

India already has strengths that support this approach: a large pool of software engineers, global capability centres of multinational firms, a big domestic market and experience in building population-scale digital systems. Policymakers argue that combining these with public compute and data can let India build AI suited to its languages and needs, rather than only importing tools developed elsewhere.

Artificial intelligence, especially large language models and other generative systems, has become a strategic technology that affects productivity, public services and national security. Building such systems requires three scarce resources: large amounts of computing power, especially graphics processing units (GPUs); high-quality data; and skilled researchers. These are concentrated in a few countries and companies, and Indian start-ups and researchers have found them expensive or hard to access.

The IndiaAI Mission responds by treating AI capacity partly as public infrastructure, in the same way India built shared digital platforms for identity and payments. Instead of the government owning all hardware, it contracts private data centre operators to make GPUs available to Indian users at subsidised rates through a common portal. This page looks at the mission as an industrial and technology policy, asking how India can capture value from AI, rather than discussing AI ethics in general.