Machinepower Index / Dossiers / Kenya
Rank 39–50 across the scoring rules tested. How this is tested
Kenya
Diffusion Advantage — For nations that cannot build the frontier but can use it faster than anyone: import the models and win on deployment, across the state and the economy, with public consent.
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 | 3.4 |
| Firm Power Capacity | Dataset | 2.0 | |
| Sovereign Compute | Assessed | 2.0 | |
| Hardware & Silicon Access | Dataset | 2.0 | |
| Weights | Frontier Model Output | Dataset | 3.0 |
| Alignment Capability | Assessed | 4.6 | |
| Regulatory Standing | Dataset | 7.1 | |
| Talent Density | Assessed | 3.4 | |
| Will | Policy Capacity | Dataset | 6.9 |
| Public Sector Adoption | Dataset | 6.2 | |
| Workforce Transition | Dataset | 4.9 | |
| Public Trust | Assessed | 6.4 |
Assessed marks a measurement we judged rather than took from a dataset: 5 of the 12 here.
Sources
The $1bn Microsoft–G42 campus stalled in May 2026 because the 3 GW grid could not carry it.
View source →The only Sub-Saharan member of the international network of AI safety institutes; signed Bletchley and Seoul.
View source →Feeds firm power, held at the 2.0 floor.
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 Kenya. Estimated from 0.7 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 →Ipsos does not cover Kenya. Pew's 2025 survey, mapped to the Ipsos scale through 22 shared countries.
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 Kenya below its Potential. Its two lowest scores cost it the most: firm power capacity at 2.0 (part of Watts) and sovereign compute at 2.0 (part of Watts).
Assessment
Kenya runs mobile money for most adults and leads Africa on AI safety commitments, but its grid could not carry the $1bn Microsoft–G42 campus, which stalled in May 2026.
The art of the possible
Its route is use, not hosting: M-Pesa showed Kenyans take up digital services faster than richer countries. A 10 GW generation target for 2030 would reopen hosting later.
Strategic play — Diffusion Advantage
Deploy AI through mobile services, and use the safety-network seat to shape how models are tested for Africa.
Leverage — the nearest position. No chokepoint. Its position is standing: the only Sub-Saharan member of the international network of AI safety institutes.
Open Kenya in the live Index → — every source behind every number, and the comparison tool.