Machinepower Index / Dossiers / India
India
Diffusion Advantage — Import the frontier and out-deploy everyone. The returns of AI accrue to users, not only builders.
Score comes from the twelve measurements beneath the three layers. A nation needs all of them at once — world-class models are no use on a grid that cannot power them — so one weak measurement pulls the Score down instead of being averaged away. Potential is the plain average of the three layers. The gap between the two is what being lopsided costs: nothing if a nation is evenly built, more the further its strengths and weaknesses sit apart. The exact formula is on the methodology page.
The three layers
Energy, grids, data centres and silicon — the physical capacity to run models at scale.
Models, alignment capability, standards influence and the talent that produces them.
The capacity to wire AI into the state and the economy while holding public consent.
Where the score comes from
Each layer is the plain average of its four measurements. The Score uses those twelve measurements directly rather than the three averages, because averaging hides things: a 10 next to a 3 comes out as a forgettable 6.5, and you lose both facts. Every measurement is scored 0–10 and marked to show where the number came from.
| Layer | Sub-dimension | Basis | Score |
|---|---|---|---|
| Watts | Planning & Permitting | Assessed | 6.2 |
| Firm Power Capacity | Dataset | 7.9 | |
| Sovereign Compute | Dataset | 5.1 | |
| Hardware & Silicon Access | Dataset | 4.9 | |
| Weights | Frontier Model Output | Assessed | 4.0 |
| Alignment Capability | Assessed | 6.8 | |
| Regulatory Standing | Dataset | 6.4 | |
| Talent Density | Dataset | 7.9 | |
| Will | State Procurement | Dataset | 6.7 |
| Public Sector Adoption | Dataset | 7.9 | |
| Workforce Transition | Assessed | 6.4 | |
| Public Trust | Dataset | 7.7 |
Dataset means the number comes straight from a published source. Assessed means we judged it ourselves, because no dataset measures that thing cleanly — 4 of the 12 here, and 116 of 312 across the Index. The CSV export flags them too.
Sources
Every source below was published within the last 12 months. These are the main ones behind India's profile. The full list, and the rule on how recent a source has to be, are on the methodology page.
The ₹10,372 crore IndiaAI Mission has deployed over 38,000 GPUs on its common compute portal (from an initial 10,000 target), aiming for ~100,000 by end-2026.
View source →GitHub's 2025 Octoverse reports that India has overtaken the United States as the largest open-source contributor base in the world.
View source →Population-scale digital public infrastructure provides the deployment substrate for AI-native state services, a key driver of India's Will score.
View source →Bottlenecks
These hold India below its Potential. Its two lowest scores cost it the most: frontier model output at 4.0 (part of Weights) and hardware & silicon access at 4.9 (part of Watts).
Assessment
India commands massive software engineering talent and strong political alignment on sovereign infrastructure (National Supercomputing Mission). Its material power suffers from domestic semiconductor manufacturing delays and grid stability across high-performance compute clusters.
The art of the possible
India's scale is its own art of the possible: 38,000 GPUs today, 100,000 targeted, the world's fastest-growing developer base, and population-scale digital infrastructure nobody else can match. Domestic fabrication and grid reliability would convert the world's largest talent pipeline into a top-three power.
Strategic play — Diffusion Advantage
Import the frontier and out-deploy everyone. The returns of AI accrue to users, not only builders.
The play is editorial, not scored: it names the game India's measured position supports. Eight plays run across the Index — Total Sovereignty, Strategic Autonomy, Chokepoint Leverage, Diffusion Advantage, Compute Rentier, Specialist Power, Sovereign Capital and Siege Autarky.
Open India in the live Index → — every source behind every number, the comparison tool and the CSV export.