Buenos Aires
Metro Power
59.6
of 100 · #31
MPI
59.6
MCC
35.7
MDI
32.3
Pillar profile
Talent32.5
Capital32.6
Research36.3
Infrastructure44.8
Agentic32.3
Indicators
- Population (m)15.6
- GDP ($bn)250
- GDP per capita ($k)16
- AI investment ($bn)2
- Tech employment %7
- AI talent50
- Research strength52
- Notable AI orgs35
- Compute / data centers44
- Broadband %80
- Tertiary degree %30
- Digital skills56
- Startup ecosystem60
- Agent adoption36
- Patents / 100k6
Nearest peers
- Monterrey35.7
- Doha35.5
- Santiago35.5
- Kuala Lumpur36.0
- Kansas City36.0
Metro report · generated from Buenos Aires's indicators
Buenos Aires — metro standing in full
Buenos Aires is the #48 metro by economic size ($250bn) in the panel and ranks #31/162 on absolute Metro Power and #119/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is infrastructure. Locally it runs below the Argentina national average (MCC 35.7 vs CC 37.8).
National context: Argentina scores CC 37.8 per-capita; Buenos Aires sits at MCC 35.7.
Economic & scale context curated v1 estimate
GDP (metro)
$250bn
#48 of 162
GDP / capita
$16k
Population
15.6M
AI investment
$2.0bn
#91 of 162
Notable AI orgs
35
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Buenos Aires's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Buenos Aires sits |
|---|---|---|---|
| MPI Metro Power | 59.6 | Strong · #31/162 | High here — a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem. ▲ 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 | 35.7 | Developing · #119/162 | 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 | 32.3 | Developing · #122/162 | 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 | 32.5 | Developing · #123/162 | 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 | 32.6 | Moderate · #80/162 | Mid-pack. High would mean abundant capital flowing into building cognitive infrastructure; low would mean 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 | 36.3 | Moderate · #98/162 | Mid-pack. High would mean a strong research base feeding a pipeline of ideas and people; low would mean 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 | 44.8 | Developing · #137/162 | 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 | 32.3 | Developing · #122/162 | 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
- Scale without depth — a heavyweight by absolute Metro Power (#31) but thinner per-capita intensity (MCC #119): big in total, less dense per resident.
- Binding weakness — Infrastructure 44.8 (#137/162, Developing): 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.