CognitiveAristocracy
Detail
Overview / Regions / Denver

Denver

US Power #60/162Per-capita #27National view: United States →
Metro Power
50.8
of 100 · #60
MPI
50.8
MCC
58.2
MDI
57.6

Pillar profile

Talent56.2
Capital50.2
Research50.7
Infrastructure76.4
Agentic57.6

Indicators

  • Population (m)3.0
  • GDP ($bn)260
  • GDP per capita ($k)87.0
  • AI investment ($bn)9
  • Tech employment %15
  • AI talent64
  • Research strength74
  • Notable AI orgs18
  • Compute / data centers66
  • Broadband %94
  • Tertiary degree %48
  • Digital skills83
  • Startup ecosystem68
  • Agent adoption62
  • Patents / 100k120

Nearest peers

Metro report · generated from Denver's indicators

Denver — metro standing in full

Denver is the #44 metro by economic size ($260bn) in the panel and ranks #60/162 on absolute Metro Power and #27/162 on per-capita intensity. Its strongest pillar is Capital (50.2, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 58.2 vs CC 86.7).

National context: United States scores CC 86.7 per-capita; Denver sits at MCC 58.2.

Economic & scale context ● US Census ACS-1 2022 (population); GDP curated

GDP (metro)
$260bn
#44 of 162
GDP / capita
$87k
Population
3.0M
AI investment
$9.0bn
#18 of 162
Notable AI orgs
18

Index & pillar read

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

Index / pillarValueStandingWhat a high vs low value means — and where Denver sits
MPI Metro Power50.8Moderate · #60/162Mid-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 Coefficient58.2Strong · #27/162High 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 Agentic57.6Strong · #22/162High 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 Talent56.2Strong · #23/162High 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 Capital50.2Strong · #21/162High 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 Research50.7Strong · #42/162High 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 Infrastructure76.4Strong · #29/162High 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 Agentic57.6Strong · #22/162High 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

  • Capital (50.2, Strong) — abundant capital flowing into building cognitive infrastructure.
  • Agentic (57.6, Strong) — agents are actively deployed — an early-mover productivity edge.
  • Talent (56.2, Strong) — a deep talent pool — the scarcest input to building AI.

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.