Cape Town
Metro Power
41.7
of 100 · #89
MPI
41.7
MCC
29.4
MDI
26.4
Pillar profile
Talent25.4
Capital26.0
Research30.1
Infrastructure39.3
Agentic26.4
Indicators
- Population (m)4.8
- GDP ($bn)90
- GDP per capita ($k)19
- AI investment ($bn)1
- Tech employment %6
- AI talent44
- Research strength48
- Notable AI orgs22
- Compute / data centers46
- Broadband %72
- Tertiary degree %24
- Digital skills52
- Startup ecosystem56
- Agent adoption32
- Patents / 100k4
Nearest peers
- Ho Chi Minh City29.4
- Johannesburg29.3
- Medellin29.0
- Brasilia29.8
- Bogota28.8
Metro report · generated from Cape Town's indicators
Cape Town — metro standing in full
Cape Town is the #121 metro by economic size ($90bn) in the panel and ranks #89/162 on absolute Metro Power and #140/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is infrastructure. Locally it runs below the South Africa national average (MCC 29.4 vs CC 31.6).
National context: South Africa scores CC 31.6 per-capita; Cape Town sits at MCC 29.4.
Economic & scale context curated v1 estimate
GDP (metro)
$90bn
#121 of 162
GDP / capita
$19k
Population
4.8M
AI investment
$1.0bn
#131 of 162
Notable AI orgs
22
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Cape Town's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Cape Town sits |
|---|---|---|---|
| MPI Metro Power | 41.7 | Moderate · #89/162 | 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 | 29.4 | Developing · #140/162 | 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 | 26.4 | Developing · #141/162 | 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 | 25.4 | Lagging · #144/162 | 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 · #124/162 | 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 | 30.1 | Developing · #117/162 | 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 | 39.3 | Lagging · #147/162 | 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 | 26.4 | Developing · #141/162 | 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 39.3 (#147/162, Lagging): infrastructure gaps cap how much AI can actually be run locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.