Rotterdam
Metro Power
34.0
of 100 · #119
MPI
34.0
MCC
43.7
MDI
41.1
Pillar profile
Talent41.0
Capital28.1
Research36.4
Infrastructure71.9
Agentic41.1
Indicators
- Population (m)1.9
- GDP ($bn)102.8
- GDP per capita ($k)55.6
- AI investment ($bn)1.3
- Tech employment %6.4
- AI talent55
- Research strength62
- Notable AI orgs16
- Compute / data centers62
- Broadband %97
- Tertiary degree %44
- Digital skills74
- Startup ecosystem57
- Agent adoption45
- Patents / 100k20
Nearest peers
Metro report · generated from Rotterdam's indicators
Rotterdam — metro standing in full
Rotterdam is the #112 metro by economic size ($103bn) in the panel and ranks #119/162 on absolute Metro Power and #91/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the Netherlands national average (MCC 43.7 vs CC 67.5).
National context: Netherlands scores CC 67.5 per-capita; Rotterdam sits at MCC 43.7.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$103bn
#112 of 162
GDP / capita
$56k
Population
1.9M
AI investment
$1.3bn
#117 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 Rotterdam's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Rotterdam sits |
|---|---|---|---|
| MPI Metro Power | 34.0 | Developing · #119/162 | 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 | 43.7 | Moderate · #91/162 | 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 | 41.1 | Moderate · #89/162 | 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 | 41.0 | Moderate · #91/162 | 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 | 28.1 | Developing · #109/162 | 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 | 36.4 | Moderate · #97/162 | 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 | 71.9 | Moderate · #50/162 | 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 | 41.1 | Moderate · #89/162 | 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
- Binding weakness — Capital 28.1 (#109/162, 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.