Machinepower Index / Dossiers / Kazakhstan
Rank 21–38 across the scoring rules tested. How this is tested
Kazakhstan
Compute Rentier — For nations whose main asset is the ground itself, meaning cheap clean power, land and stability: host other nations' compute and turn geography into rent, jobs and relevance.
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 | 5.8 |
| Firm Power Capacity | Dataset | 4.3 | |
| Sovereign Compute | Dataset | 4.1 | |
| Hardware & Silicon Access | Dataset | 3.0 | |
| Weights | Frontier Model Output | Dataset | 3.0 |
| Alignment Capability | Assessed | 3.5 | |
| Regulatory Standing | Dataset | 6.5 | |
| Talent Density | Assessed | 3.3 | |
| Will | Policy Capacity | Dataset | 8.8 |
| Public Sector Adoption | Dataset | 7.4 | |
| Workforce Transition | Dataset | 7.7 | |
| Public Trust | Assessed | 7.6 |
Assessed marks a measurement we judged rather than took from a dataset: 4 of the 12 here.
Sources
A data-centre valley at Ekibastuz is promised up to 1 GW, but the country still imports power from Russia.
View source →A new AI ministry focused on deployment; no safety body or safety statements.
View source →A cross-check for planning and permitting, which stays assessed: it scores permits and electricity connections for ordinary firms, not grid-scale connections for data centres.
View source →Largest: Alem.Cloud.
View source →Stanford does not count Kazakhstan. Estimated from 0.5 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 Kazakhstan below its Potential. Its two lowest scores cost it the most: hardware & silicon access at 3.0 (part of Watts) and frontier model output at 3.0 (part of Weights).
Assessment
Kazakhstan has moved faster than any Central Asian state: an AI ministry, two systems on the TOP500 and a plan to turn the Ekibastuz coal field into a data-centre valley. It still imports power from Russia and has little research depth.
The art of the possible
If the new plants arrive on time, Ekibastuz could sell computing to both blocs, a position few states hold.
Strategic play — Compute Rentier
Sell power as compute to both sides, but only as fast as new generation arrives; a campus that causes blackouts would end the plan.
Leverage — the nearest position. No chokepoint. Its position is in between: one of five states that signed both the US-led AI statement and China's WAICO, with power to sell either way.
Open Kazakhstan in the live Index → — every source behind every number, and the comparison tool.