In February 2025, India committed ₹10,372 crore to the IndiaAI Mission, one of the largest public AI investment programmes in any developing economy. Twelve months later, the results are moving from announcement to reality.
Public sector banks are deploying AI-powered credit underwriting that processes applications in under 90 seconds. State governments in Andhra Pradesh and Telangana are using large language models to handle citizen grievances in regional languages at scale.
Nasscom's 2025 State of AI report found that 67% of large Indian enterprises have moved beyond pilots into full production deployment. The driver is no longer curiosity — it's competitive pressure from peers who already have the efficiency advantage.
IIT Bombay, IIT Delhi, and IISc now run dedicated AI research centres funded partly by the IndiaAI compute initiative. Startups like Sarvam AI and Krutrim are building foundation models specifically trained on Indian language data — a capability global LLMs have consistently underserved.
Strategic Implication
For enterprise technology leaders, the question has shifted from whether to adopt AI to how fast they can scale what they've already started. The window for early-mover advantage is closing. The gap between AI-native enterprises and laggards is widening every quarter.
By Grey Platforms

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