Toulouse
Metro Power
33.6
of 100 · #124
MPI
33.6
MCC
45.7
MDI
42.3
Pillar profile
Talent47.2
Capital30.6
Research44.2
Infrastructure64.3
Agentic42.3
Indicators
- Population (m)1.4
- GDP ($bn)63.8
- GDP per capita ($k)44.0
- AI investment ($bn)1.5
- Tech employment %9
- AI talent60
- Research strength71
- Notable AI orgs20
- Compute / data centers56
- Broadband %93
- Tertiary degree %46
- Digital skills69
- Startup ecosystem60
- Agent adoption43
- Patents / 100k34
Nearest peers
- Madison45.6
- Lyon45.5
- Hamburg46.1
- Wellington45.2
- Suzhou45.1
Metro report · generated from Toulouse's indicators
Toulouse — metro standing in full
Toulouse is the #127 metro by economic size ($64bn) in the panel and ranks #124/162 on absolute Metro Power and #77/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the France national average (MCC 45.7 vs CC 65.1).
National context: France scores CC 65.1 per-capita; Toulouse sits at MCC 45.7.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$64bn
#127 of 162
GDP / capita
$44k
Population
1.4M
AI investment
$1.5bn
#109 of 162
Notable AI orgs
20
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Toulouse's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Toulouse sits |
|---|---|---|---|
| MPI Metro Power | 33.6 | Developing · #124/162 | 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 | 45.7 | Moderate · #77/162 | 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 | 42.3 | Moderate · #80/162 | 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 | 47.2 | Moderate · #61/162 | 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 | 30.6 | Moderate · #94/162 | 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 | 44.2 | Moderate · #68/162 | 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 | 64.3 | Moderate · #92/162 | 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 | 42.3 | Moderate · #80/162 | 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
- No pillar stands out as a clear strength yet.
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.