Nairobi
Metro Power
39.1
of 100 · #100
MPI
39.1
MCC
22.1
MDI
20.5
Pillar profile
Talent18.3
Capital26.0
Research21.2
Infrastructure24.6
Agentic20.5
Indicators
- Population (m)5.3
- GDP ($bn)60
- GDP per capita ($k)11
- AI investment ($bn)1
- Tech employment %4
- AI talent38
- Research strength34
- Notable AI orgs20
- Compute / data centers40
- Broadband %58
- Tertiary degree %20
- Digital skills44
- Startup ecosystem56
- Agent adoption28
- Patents / 100k1
Nearest peers
- Tunis22.1
- Cairo21.0
- Lagos23.4
- Casablanca23.4
- Panama City24.2
Metro report · generated from Nairobi's indicators
Nairobi — metro standing in full
Nairobi is the #129 metro by economic size ($60bn) in the panel and ranks #100/162 on absolute Metro Power and #151/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is infrastructure. Locally it runs above the Kenya national average (MCC 22.1 vs CC 17.1).
National context: Kenya scores CC 17.1 per-capita; Nairobi sits at MCC 22.1.
Economic & scale context curated v1 estimate
GDP (metro)
$60bn
#129 of 162
GDP / capita
$11k
Population
5.3M
AI investment
$1.0bn
#130 of 162
Notable AI orgs
20
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Nairobi's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Nairobi sits |
|---|---|---|---|
| MPI Metro Power | 39.1 | Moderate · #100/162 | Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean limited absolute weight — a smaller node that leans on capacity built in larger hubs. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight — a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 22.1 | Lagging · #151/162 | Low here — thin intensity per resident — capability is sparse relative to the population. ▲ high: deep capability per resident — a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident — capability is sparse relative to the population |
| MDI Metro Agentic | 20.5 | Lagging · #150/162 | Low here — agentic deployment is shallow — the local agent lever is under-used. ▲ high: agents are widely deployed locally — a near-term productivity multiplier · ▼ low: agentic deployment is shallow — the local agent lever is under-used |
| Talent Talent | 18.3 | Lagging · #154/162 | Low here — a shallow talent base that constrains how much can be built locally. ▲ high: a deep talent pool — the scarcest input to building AI · ▼ low: a shallow talent base that constrains how much can be built locally |
| Capital Capital | 26.0 | Developing · #123/162 | Low here — thin investment — good ideas struggle to scale locally. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 21.2 | Lagging · #145/162 | Low here — a weak research base — fewer home-grown breakthroughs and spinouts. ▲ high: a strong research base feeding a pipeline of ideas and people · ▼ low: a weak research base — fewer home-grown breakthroughs and spinouts |
| Infrastructure Infrastructure | 24.6 | Lagging · #157/162 | Low here — infrastructure gaps cap how much AI can actually be run locally. ▲ high: the physical and digital rails to run AI at scale are in place · ▼ low: infrastructure gaps cap how much AI can actually be run locally |
| Agentic Agentic | 20.5 | Lagging · #150/162 | Low here — little agentic deployment — the near-term lever is unused. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Infrastructure 24.6 (#157/162, Lagging): infrastructure gaps cap how much AI can actually be run locally.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.