🔬 Science & TechMAINS · GS3.13 · GS3.9

India’s data centres draw 1.5 GW, up from 375 MW in 2020

NITI Aayog’s new framework asks States to appraise power, water, siting, economic value and governance before they compete for the next gigawatt of capacity.

What happened

For Prelims

For UPSC: Data centres are the physical layer of the AI economy, and this gives you the resource arithmetic to argue about them rather than the slogans. Deploy it on digital infrastructure, on the energy-water nexus, on Centre-State industrial policy and the subsidy race between States, and on e-waste and extended producer responsibility.
What it is NOT: No figure for how much electricity or water the existing 1.5 GW actually consumes, no projection of capacity to 2030, and no threshold values - what counts as adequate grid readiness, or as unacceptable basin stress, is left to States. The release does not name the provision granting the tax holiday to 2047, nor who qualifies as an eligible foreign cloud service provider. Nothing on where the existing capacity is concentrated, which is the relevant fact for a framework about siting, and nothing on data localisation or on the land acquisition that siting decisions turn on.

For Mains

Syllabus: GS3.13 · GS3.9 · Linkage L1

Anchor
NITI Aayog has published a Data Centre Evaluation Framework for State governments, structured on power, water, siting, economic value and governance, as India’s data-centre capacity reaches about 1.5 GW from about 375 MW in 2020.
Substantiation (data)
Capacity has roughly quadrupled in six years. The framework asks States to assess grid readiness and net grid draw, promote storage-backed renewables, evaluate basin-level water stress and the impact on public supply, require rainwater harvesting and on-site treatment, and demand lifecycle plans for e-waste and batteries. It also asks them to identify data-centre zones, separate colocation from active compute, and link incentives to measurable outcomes under time-bound approvals.
Position
The useful move here is treating a data centre as an infrastructure load rather than as an investment announcement. A gigawatt of compute is a power-sector planning problem, a basin-level water problem and a waste-stream problem before it is an IT success, and States that sanction capacity faster than their distribution companies and water utilities can serve it will discover the constraint after the subsidy has been given.
Counterpoint
A framework from an advisory body binds nobody. Land, power tariffs, water allocation and industrial incentives are State subjects or State decisions, and the competitive pressure that produces the subsidy race is exactly what a voluntary checklist cannot restrain. NITI explicitly rules out creating a regulatory layer, which means the framework works only where a State wanted to be disciplined anyway.
Way forward
The test is whether any State adopts the evaluation as a condition of its incentive approvals, and whether the power and water numbers for sanctioned capacity begin to be published. Reporting net grid draw and basin stress for each approved project would make the framework checkable by anyone.
Conclusion
A sober document about an exuberant sector: the capacity number is the story, and the framework’s contribution is to ask what the capacity will drink and burn before asking what it will earn.
Deploys into: Digital infrastructure and the AI build-out · Energy-water nexus · Centre-State industrial incentives · E-waste and extended producer responsibility
NITI Aayog · 2026-10-15 · PRID 2323840 · PIB source ↗
Related: NITI Aayog Frontier Tech Hub · E-Waste Management Rules 2022 · Power Usage Effectiveness · Data localisation