Belo Horizonte
Metro Power
36.4
of 100 · #113
MPI
36.4
MCC
26.9
MDI
25.0
Pillar profile
Talent26.8
Capital16.4
Research24.5
Infrastructure41.8
Agentic25.0
Indicators
- Population (m)6
- GDP ($bn)78
- GDP per capita ($k)13
- AI investment ($bn)0.3
- Tech employment %4.2
- AI talent44
- Research strength49
- Notable AI orgs10
- Compute / data centers48
- Broadband %77
- Tertiary degree %31
- Digital skills49
- Startup ecosystem47
- Agent adoption30
- Patents / 100k6
Nearest peers
- Curitiba28.2
- Beirut25.2
- Bogota28.8
- Medellin29.0
- Kuwait City24.5
Metro report · generated from Belo Horizonte's indicators
Belo Horizonte — metro standing in full
Belo Horizonte is the #123 metro by economic size ($78bn) in the panel and ranks #113/162 on absolute Metro Power and #145/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the Brazil national average (MCC 26.9 vs CC 41.1).
National context: Brazil scores CC 41.1 per-capita; Belo Horizonte sits at MCC 26.9.
Economic & scale context curated v1 estimate
GDP (metro)
$78bn
#123 of 162
GDP / capita
$13k
Population
6.0M
AI investment
$0.3bn
#149 of 162
Notable AI orgs
10
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Belo Horizonte's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Belo Horizonte sits |
|---|---|---|---|
| MPI Metro Power | 36.4 | Developing · #113/162 | Low here — 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 | 26.9 | Lagging · #145/162 | 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 | 25.0 | Lagging · #145/162 | 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 | 26.8 | Lagging · #143/162 | 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 | 16.4 | Lagging · #147/162 | 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 | 24.5 | Developing · #138/162 | 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 | 41.8 | Lagging · #143/162 | 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 | 25.0 | Lagging · #145/162 | 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 — Capital 16.4 (#147/162, Lagging): thin investment — good ideas struggle to scale locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.