Chicago
Metro Power
66.2
of 100 · #21
MPI
66.2
MCC
60.3
MDI
58.7
Pillar profile
Talent51.7
Capital53.9
Research57.0
Infrastructure80.3
Agentic58.7
Indicators
- Population (m)9.4
- GDP ($bn)770
- GDP per capita ($k)81.6
- AI investment ($bn)13
- Tech employment %12
- AI talent66
- Research strength84
- Notable AI orgs24
- Compute / data centers76
- Broadband %94
- Tertiary degree %42
- Digital skills81
- Startup ecosystem68
- Agent adoption62
- Patents / 100k95
Nearest peers
- Raleigh-Durham60.0
- Cambridge UK60.0
- Paris59.8
- Hangzhou60.9
- Montreal59.3
Metro report · generated from Chicago's indicators
Chicago — metro standing in full
Chicago is the #7 metro by economic size ($770bn) in the panel and ranks #21/162 on absolute Metro Power and #19/162 on per-capita intensity. Its strongest pillar is Infrastructure (80.3, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 60.3 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Chicago sits at MCC 60.3.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$770bn
#7 of 162
GDP / capita
$82k
Population
9.4M
AI investment
$13.0bn
#14 of 162
Notable AI orgs
24
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Chicago's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Chicago sits |
|---|---|---|---|
| MPI Metro Power | 66.2 | Strong · #21/162 | High here — a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem. ▲ 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 | 60.3 | Strong · #19/162 | High 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 Agentic | 58.7 | Strong · #18/162 | High 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 Talent | 51.7 | Strong · #36/162 | High 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 Capital | 53.9 | Leading · #16/162 | High 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 Research | 57.0 | Strong · #28/162 | 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 | 80.3 | Leading · #14/162 | High 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 Agentic | 58.7 | Strong · #18/162 | High 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 (80.3, Leading) — the physical and digital rails to run AI at scale are in place.
- Capital (53.9, Leading) — abundant capital flowing into building cognitive infrastructure.
- Agentic (58.7, Strong) — agents are actively deployed — an early-mover productivity edge.
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.