Lausanne
Metro Power
31.1
of 100 · #131
MPI
31.1
MCC
53.1
MDI
51.4
Pillar profile
Talent56.1
Capital36.2
Research50.8
Infrastructure71.2
Agentic51.4
Indicators
- Population (m)0.8
- GDP ($bn)63.0
- GDP per capita ($k)76.8
- AI investment ($bn)1.8
- Tech employment %9.8
- AI talent68
- Research strength76
- Notable AI orgs26
- Compute / data centers56
- Broadband %96
- Tertiary degree %54
- Digital skills80
- Startup ecosystem68
- Agent adoption50
- Patents / 100k58
Nearest peers
- Gurugram-NCR53.1
- Guangzhou53.0
- Salt Lake City53.5
- Copenhagen52.7
- Minneapolis52.6
Metro report · generated from Lausanne's indicators
Lausanne — metro standing in full
Lausanne is the #128 metro by economic size ($63bn) in the panel and ranks #131/162 on absolute Metro Power and #42/162 on per-capita intensity. Its strongest pillar is Talent (56.1, Strong); no single pillar is a binding weakness. Locally it runs below the Switzerland national average (MCC 53.1 vs CC 68.2).
National context: Switzerland scores CC 68.2 per-capita; Lausanne sits at MCC 53.1.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$63bn
#128 of 162
GDP / capita
$77k
Population
0.8M
AI investment
$1.8bn
#99 of 162
Notable AI orgs
26
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Lausanne's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Lausanne sits |
|---|---|---|---|
| MPI Metro Power | 31.1 | Developing · #131/162 | 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 | 53.1 | Strong · #42/162 | High here — deep capability per resident — a concentrated, high-intensity ecosystem. ▲ 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 | 51.4 | Strong · #34/162 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ 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 | 56.1 | Strong · #25/162 | High here — a deep talent pool — the scarcest input to building AI. ▲ 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 | 36.2 | Moderate · #66/162 | 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 | 50.8 | Strong · #41/162 | 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 | 71.2 | Moderate · #54/162 | 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 | 51.4 | Strong · #34/162 | High here — agents are actively deployed — an early-mover productivity edge. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- Talent (56.1, Strong) — a deep talent pool — the scarcest input to building AI.
- Agentic (51.4, Strong) — agents are actively deployed — an early-mover productivity edge.
- Research (50.8, Strong) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- No acute structural gaps stand out across the metro pillars.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.