Mapping the hidden systems shaping India’s next industrial decade.

Kerala’s NetraSemi, backed by Zoho, has unveiled the A2000 — a 12nm edge-AI system-on-chip and the first Indian-designed AI chip to reach silicon. It matters less as a product than as proof of a thesis: edge AI is the one layer of the AI-hardware stack India can contest now, without a leading-edge fab.

India has built or is building twelve semiconductor projects worth ₹1.65 lakh crore. None of them produces the chips that AI accelerators are made from — because the binding constraint is not the fab, it is advanced packaging.

The 71% concentration of India’s submarine-cable capacity at Mumbai and Chennai is the single largest geographic risk to Indian AI infrastructure. Visakhapatnam is the one project that materially diversifies it.

India’s AI infrastructure cycle creates a ₹80,000–150,000 crore aggregate Indian-vendor opportunity through 2030. ₹28,000–60,000 crore of it is addressable to SMEs. Eight industrial segments capture most of it.

The unit of competition for India’s AI build-out is the corridor, not the state. Seven corridors are competing for the next decade of hyperscaler and semiconductor capital; their endowments and binding constraints differ sharply.

Front-end fabrication attracts the headlines, but the binding constraint on near-term output is back-end assembly, test and packaging capacity — and the specialised inputs it quietly depends on.

Capital and policy can be assembled quickly. The deep process-engineering and yield-management talent that makes a fab productive cannot — and that asymmetry shapes the realistic ramp curve.

Capital and policy can be assembled in a board meeting. The deep process-engineering and yield-management talent that makes a fab or a hyperscale DC productive cannot. The asymmetry is what sets the realistic ramp curve.

CGWB classifies Bengaluru and Hyderabad as over-exploited, Chennai as critical. The DC pipeline is densest where the water position is most stressed. This signal names the corridor-level audits that are not yet being published.

Of a ₹91,000 crore mature-node fab, roughly two-thirds flows to ASML, AMAT, Lam, TEL and KLA. The Indian-capture economy lives in the remaining one-third — construction, gases, UPW, logistics and the durable industrial capabilities those build.

Not capital, not policy, not aggregate talent supply. The binding constraint on India’s 4.5–9 GW DC trajectory is local: transmission, water rights, fibre right-of-way and DISCOM-level interconnection-queue execution at the level of seven specific districts.