India Adopts Public-Private Model to Scale National AI Infrastructure

The Government of India is adopting a public-private partnership model to scale its artificial intelligence capabilities and maintain digital sovereignty. This strategy seeks to replicate the collaborative architecture used for the Unified Payments Interface (UPI), where the state provides foundational infrastructure—including sovereign compute capacity and regulatory guardrails—while the private sector develops application-layer tools for citizen services and small businesses.

This shift follows a report by the International Data Corporation and Dell Technologies identifying India as one of the most advanced countries in the Asia-Pacific region for AI maturity. Alongside Japan, South Korea, and Singapore, India has progressed into the testing and deployment phases, whereas neighbors like Australia and Indonesia remain in the evaluation stage. To sustain this lead and mitigate high infrastructure costs and vendor concentration, the government is prioritizing shared national AI infrastructure to expand access to trusted compute resources.

Prime Minister Narendra Modi and Union IT Minister Ashwini Vaishnaw have supported the framework to improve public service delivery. However, AI4India.org cautioned that leaving AI entirely to market forces could lead to fragmented systems and a dependence on foreign platforms. Rakesh Kapoor, a retired Lieutenant General, emphasized that neither the government nor the private sector can achieve these goals alone, calling for a fusion of both sectors.