From Financialexpress · Sheenu Sharma · · 3m
India's AI Value Chain Debate
India's AI race faces a critical choice: host global data centers or build its own value chain.
In brief
India's AI race faces a critical choice: host global data centers or build its own value chain. India risks becoming a global computing hub while importing AI value without owning the technology. Originally reported by Financialexpress.
India's AI debate stuck on data centers
India's AI debate has largely focused on computation, how many data centers can be built, how much power they will consume and how many GPUs the country can assemble.
The real question: who owns the value chain
The more consequential question is whether India will merely host global ai infrastructure or own a meaningful share of the value chain: chips, models, platforms, software, talent and intellectual property.
Data centers are physical infrastructure
Data centers are indispensable to ai but they are not the whole ai economy. They consume electricity, water and land while housing servers and gpus.
Foreign control of high-value layers
The higher-value layers, semiconductor design, foundation models, developer platforms and proprietary ai systems, often remain controlled by foreign firms.
Dr. Ajai Chowdhry's perspective
We often talk about ai as if it exists in a world of algorithms, models and code. But behind every ai system is a very physical infrastructure, data centers, servers, electricity, cooling, water and land.
Economic value of data centers
The argument is to look at them the way we would look at any major industrial project, by weighing investment, value, resource consumption and social impact.
India's data center boom
India's data center capacity has expanded sharply, and global hyperscalers and domestic cloud providers continue to announce new facilities.
Strategic risk of foreign control
If global companies locate compute capacity in india while advanced chips, ai platforms, models and intellectual property remain abroad, the country captures only part of the economic value created by its own land, power and…
IndiaAI Mission progress
The indiaai mission approved with an outlay of about rs 10,372 crore has shared compute capacity crossing 45,000 gpus by june 2026.
AI projects and use cases
By august 2026, around 237 projects had accessed subsidised ai computing using 93.18 lakh gpu hours.
Indigenous foundation models
The government has selected 20 indigenous foundation-model proposals from 506 applications including 12 large multimodal models and eight small language models.
AI Kosh platform
The ai kosh platform acts as a shared resource base for developers hosting datasets, models and validated use cases.
Sovereign models for sectors
India's opportunity may not lie in competing with global consumer llms but building specialised small models for healthcare, banking, manufacturing, education, agriculture and climate.
Quantum mission comparison
India has demonstrated a 1000-km secure quantum communication link ahead of an original eight-year target of 2000 km.
AI jobs and skills shift
AI is likely to reshape work rather than eliminate it with developers shifting to reviewing ai output, securing applications and governing ai systems.
The main idea
India risks becoming a global computing hub while importing AI value without owning the technology.
