Machinepower Index / Dossiers / Qatar
Rank 40–47 across the scoring rules tested. How this is tested
Qatar
Sovereign Capital — For nations with more money than research depth: buy the frontier rather than build it, acquiring chips, talent, data centres and equity stakes at scale while the window is open.
How the Score, Potential and bottleneck cost are worked out: methodology.
The three layers
Energy, grids, data centres and silicon — the physical capacity to run models at scale.
Epoch AI records no large AI clusters or data centres here yet.
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
| Layer | Sub-dimension | Basis | Score |
|---|---|---|---|
| Watts | Planning & Permitting | Assessed | 8.0 |
| Firm Power Capacity | Dataset | 3.5 | |
| Sovereign Compute | Assessed | 2.0 | |
| Hardware & Silicon Access | Dataset | 3.8 | |
| Weights | Frontier Model Output | Dataset | 3.0 |
| Alignment Capability | Assessed | 4.6 | |
| Regulatory Standing | Dataset | 7.8 | |
| Talent Density | Assessed | 2.3 | |
| Will | Policy Capacity | Dataset | 8.1 |
| Public Sector Adoption | Dataset | 6.3 | |
| Workforce Transition | Dataset | 6.9 | |
| Public Trust | Assessed | 7.6 |
Assessed marks a measurement we judged rather than took from a dataset: 5 of the 12 here.
Sources
The state decides and funds fast and gas removes the grid limit, but live capacity is still tens of megawatts.
View source →Builds and tests Arabic models at QCRI and launched a UN ethics alliance; signed no frontier-safety statement.
View source →No system on the June 2026 TOP500 and no compute controlled by the state, universities or firms in Epoch AI; set at the floor.
View source →Stanford does not count Qatar. Estimated from 0.1 million GitHub developers and Oxford Insights' diffusion pillar, calibrated on the nations Stanford counts.
View source →Feeds governance and public-sector adoption; policy capacity is listed separately.
View source →No AI survey in the last three years covers it; set at the median of the 15 surveyed emerging and developing economies in the Index.
View source →Feeds workforce, rescaled across 173 economies.
View source →Fossil, nuclear, hydro and other dispatchable plant; averaged with generation for firm power.
View source →Bottlenecks
These hold Qatar below its Potential. Its two lowest scores cost it the most: sovereign compute at 2.0 (part of Watts) and talent density at 2.3 (part of Weights).
Assessment
Qatar has money, gas and speed: in December 2025 it launched a national AI company, Qai, with a $20bn venture alongside Brookfield. It has little AI talent, no models of its own and compute still measured in tens of megawatts.
The art of the possible
Capital buys chips and campuses quickly; it cannot buy researchers as fast. If Qai's build-out comes with labs and training, as the UAE paired G42 with a university, the money becomes capability.
Strategic play — Sovereign Capital
Buy the people with the stack: tie every Qai campus to research posts and training, and use gas power to win tenants Europe turns away.
Leverage — the nearest position. No chokepoint. The nearest key is gas: cheap, firm power that Europe's congested grids cannot offer. The licence for the chips still sits in Washington.
Open Qatar in the live Index → — every source behind every number, and the comparison tool.