Geneva
Metro Power
23.3
of 100 · #149
MPI
23.3
MCC
46.5
MDI
41.6
Pillar profile
Talent45.8
Capital28.3
Research49.7
Infrastructure67.3
Agentic41.6
Indicators
- Population (m)0.5
- GDP ($bn)56.4
- GDP per capita ($k)110.6
- AI investment ($bn)2
- Tech employment %7
- AI talent56
- Research strength78
- Notable AI orgs18
- Compute / data centers48
- Broadband %96
- Tertiary degree %52
- Digital skills80
- Startup ecosystem52
- Agent adoption45
- Patents / 100k70
Nearest peers
Metro report · generated from Geneva's indicators
Geneva — metro standing in full
Geneva is the #131 metro by economic size ($56bn) in the panel and ranks #149/162 on absolute Metro Power and #74/162 on per-capita intensity. Its strongest pillar is Research (49.7, Strong); the binding concern is capital. Locally it runs below the Switzerland national average (MCC 46.5 vs CC 68.2).
National context: Switzerland scores CC 68.2 per-capita; Geneva sits at MCC 46.5.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$56bn
#131 of 162
GDP / capita
$111k
Population
0.5M
AI investment
$2.0bn
#81 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 Geneva's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Geneva sits |
|---|---|---|---|
| MPI Metro Power | 23.3 | Lagging · #149/162 | 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 | 46.5 | Moderate · #74/162 | Mid-pack. High would mean deep capability per resident — a concentrated, high-intensity ecosystem; low would mean 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 | 41.6 | Moderate · #87/162 | Mid-pack. High would mean agents are widely deployed locally — a near-term productivity multiplier; low would mean 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 | 45.8 | Moderate · #67/162 | Mid-pack. High would mean a deep talent pool — the scarcest input to building AI; low would mean 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 | 28.3 | Developing · #107/162 | 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 | 49.7 | Strong · #45/162 | High here — a strong research base feeding a pipeline of ideas and people. ▲ 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 | 67.3 | Moderate · #74/162 | Mid-pack. High would mean the physical and digital rails to run AI at scale are in place; low would mean 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 | 41.6 | Moderate · #87/162 | Mid-pack. High would mean agents are actively deployed — an early-mover productivity edge; low would mean 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
- Research (49.7, Strong) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- Binding weakness — Capital 28.3 (#107/162, 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.