Guadalajara
Metro Power
42.8
of 100 · #86
MPI
42.8
MCC
35.2
MDI
33.7
Pillar profile
Talent37.2
Capital23.5
Research31.0
Infrastructure50.7
Agentic33.7
Indicators
- Population (m)5.4
- GDP ($bn)115
- GDP per capita ($k)21.3
- AI investment ($bn)0.6
- Tech employment %6.8
- AI talent54
- Research strength52
- Notable AI orgs18
- Compute / data centers57
- Broadband %80
- Tertiary degree %36
- Digital skills55
- Startup ecosystem56
- Agent adoption35
- Patents / 100k8
Nearest peers
- Cincinnati35.4
- Doha35.5
- Santiago35.5
- Buenos Aires35.7
- Monterrey35.7
Metro report · generated from Guadalajara's indicators
Guadalajara — metro standing in full
Guadalajara is the #103 metro by economic size ($115bn) in the panel and ranks #86/162 on absolute Metro Power and #124/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs above the Mexico national average (MCC 35.2 vs CC 35.1).
National context: Mexico scores CC 35.1 per-capita; Guadalajara sits at MCC 35.2.
Economic & scale context curated v1 estimate
GDP (metro)
$115bn
#103 of 162
GDP / capita
$21k
Population
5.4M
AI investment
$0.6bn
#143 of 162
Notable AI orgs
18
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Guadalajara's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Guadalajara sits |
|---|---|---|---|
| MPI Metro Power | 42.8 | Moderate · #86/162 | 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 | 35.2 | Developing · #124/162 | 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 | 33.7 | Developing · #119/162 | 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 | 37.2 | Developing · #107/162 | 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 | 23.5 | Developing · #134/162 | 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 | 31.0 | Developing · #116/162 | 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 | 50.7 | Developing · #126/162 | 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 | 33.7 | Developing · #119/162 | 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 23.5 (#134/162, Developing): 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.