All Things Policy Analysing India's AI Ecosystem
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Feb 27, 2026 Anwesha Sen, a technology policy researcher focused on AI infrastructure, and Bharat Reddy, a tech policy analyst on AI strategy and governance, unpack India's AI ecosystem. They discuss AI sovereignty as strategic autonomy. They examine data residency ideas like visit-don't-move, GPU and subsidy tradeoffs, data-center and power constraints, edge AI for frugal innovation, and shared compute hubs.
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Sovereignty As Strategic Autonomy
- AI sovereignty is best framed as strategic autonomy and resilient supply chains rather than pure Atmanirbharata.
- Bharat Reddy argues sovereignty means competition, choice of models, and local ability to decide in national interest.
Local Models And Use Cases Over Frontier Race
- India can pursue sovereignty via many smaller, multilingual, multimodal models and application-layer deployments rather than chasing frontier LLMs.
- Bharat Reddy gives an agriculture example: edge image models plus small language interfaces on phones to ID pests and advise farmers.
Data Residency And Clean Room Proposals
- Competition concerns drove proposals like 'visit don't move' data residency and open-sourcing older frontier models.
- Bharat Reddy describes a clean-room approach where local data stays local while foreign models process outputs within that environment.