Grenoble
Metro Power
29.3
of 100 · #136
MPI
29.3
MCC
45.0
MDI
41.6
Pillar profile
Talent47.8
Capital22.7
Research51.5
Infrastructure61.4
Agentic41.6
Indicators
- Population (m)1.3
- GDP ($bn)48.4
- GDP per capita ($k)37.5
- AI investment ($bn)1
- Tech employment %10
- AI talent56
- Research strength80
- Notable AI orgs16
- Compute / data centers42
- Broadband %94
- Tertiary degree %50
- Digital skills76
- Startup ecosystem50
- Agent adoption45
- Patents / 100k95
Nearest peers
- Nashville44.9
- Suzhou45.1
- Wellington45.2
- Wuhan44.7
- Provo44.6
Metro report · generated from Grenoble's indicators
Grenoble — metro standing in full
Grenoble is the #139 metro by economic size ($48bn) in the panel and ranks #136/162 on absolute Metro Power and #82/162 on per-capita intensity. Its strongest pillar is Research (51.5, Strong); the binding concern is capital. Locally it runs below the France national average (MCC 45.0 vs CC 65.1).
National context: France scores CC 65.1 per-capita; Grenoble sits at MCC 45.0.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$48bn
#139 of 162
GDP / capita
$38k
Population
1.3M
AI investment
$1.0bn
#127 of 162
Notable AI orgs
16
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Grenoble's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Grenoble sits |
|---|---|---|---|
| MPI Metro Power | 29.3 | Developing · #136/162 | 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 | 45.0 | Moderate · #82/162 | 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 · #88/162 | 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 | 47.8 | Moderate · #58/162 | 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 | 22.7 | Developing · #135/162 | 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 | 51.5 | Strong · #38/162 | 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 | 61.4 | Developing · #106/162 | 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 | 41.6 | Moderate · #88/162 | 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 (51.5, Strong) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- Binding weakness — Capital 22.7 (#135/162, 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.