CognitiveAristocracy
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Overview / Regions / Amsterdam

Amsterdam

Europe Power #56/162Per-capita #30National view: Netherlands →
Metro Power
51.3
of 100 · #56
MPI
51.3
MCC
56.4
MDI
49.6

Pillar profile

Talent49.7
Capital47.4
Research51.3
Infrastructure84.1
Agentic49.6

Indicators

  • Population (m)3.3
  • GDP ($bn)217.2
  • GDP per capita ($k)65.0
  • AI investment ($bn)6
  • Tech employment %8.5
  • AI talent62
  • Research strength76
  • Notable AI orgs32
  • Compute / data centers78
  • Broadband %98
  • Tertiary degree %50
  • Digital skills82
  • Startup ecosystem70
  • Agent adoption52
  • Patents / 100k40

Nearest peers

Metro report · generated from Amsterdam's indicators

Amsterdam — metro standing in full

Amsterdam is the #57 metro by economic size ($217bn) in the panel and ranks #56/162 on absolute Metro Power and #30/162 on per-capita intensity. Its strongest pillar is Infrastructure (84.1, Leading); no single pillar is a binding weakness. Locally it runs below the Netherlands national average (MCC 56.4 vs CC 67.5).

National context: Netherlands scores CC 67.5 per-capita; Amsterdam sits at MCC 56.4.

Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)

GDP (metro)
$217bn
#57 of 162
GDP / capita
$65k
Population
3.3M
AI investment
$6.0bn
#37 of 162
Notable AI orgs
32

Index & pillar read

For each metro index and pillar: what it means when high (the value) versus low (the gap), and Amsterdam's own standing.

Index / pillarValueStandingWhat a high vs low value means — and where Amsterdam sits
MPI Metro Power51.3Moderate · #56/162Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean 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 Coefficient56.4Strong · #30/162High 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 Agentic49.6Strong · #41/162High 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 Talent49.7Strong · #45/162High 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 Capital47.4Strong · #24/162High here — abundant capital flowing into building cognitive infrastructure.
▲ high: abundant capital flowing into building cognitive infrastructure  ·  ▼ low: thin investment — good ideas struggle to scale locally
Research Research51.3Strong · #39/162High 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 Infrastructure84.1Leading · #6/162High here — the physical and digital rails to run AI at scale are in place.
▲ 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 Agentic49.6Strong · #41/162High 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

  • Infrastructure (84.1, Leading) — the physical and digital rails to run AI at scale are in place.
  • Capital (47.4, Strong) — abundant capital flowing into building cognitive infrastructure.
  • Research (51.3, 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.