Ann Arbor
Metro Power
22.1
of 100 · #155
MPI
22.1
MCC
59.0
MDI
54.5
Pillar profile
Talent62.8
Capital36.9
Research70.6
Infrastructure70.1
Agentic54.5
Indicators
- Population (m)0.4
- GDP ($bn)30
- GDP per capita ($k)81
- AI investment ($bn)3
- Tech employment %16
- AI talent66
- Research strength90
- Notable AI orgs14
- Compute / data centers48
- Broadband %95
- Tertiary degree %58
- Digital skills87
- Startup ecosystem62
- Agent adoption56
- Patents / 100k320
Nearest peers
- Tokyo58.9
- Montreal59.3
- Pittsburgh58.3
- Denver58.2
- Atlanta58.2
Metro report · generated from Ann Arbor's indicators
Ann Arbor — metro standing in full
Ann Arbor is the #152 metro by economic size ($30bn) in the panel and ranks #155/162 on absolute Metro Power and #24/162 on per-capita intensity. Its strongest pillar is Research (70.6, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 59.0 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Ann Arbor sits at MCC 59.0.
Economic & scale context curated v1 estimate
GDP (metro)
$30bn
#152 of 162
GDP / capita
$81k
Population
0.4M
AI investment
$3.0bn
#65 of 162
Notable AI orgs
14
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Ann Arbor's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Ann Arbor sits |
|---|---|---|---|
| MPI Metro Power | 22.1 | Lagging · #155/162 | 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 | 59.0 | Strong · #24/162 | 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 | 54.5 | Strong · #27/162 | 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 | 62.8 | Leading · #12/162 | 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 | 36.9 | Moderate · #62/162 | Mid-pack. High would mean abundant capital flowing into building cognitive infrastructure; low would mean 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 | 70.6 | Leading · #8/162 | 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 | 70.1 | Moderate · #60/162 | 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 | 54.5 | Strong · #27/162 | 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
- Research (70.6, Leading) — a strong research base feeding a pipeline of ideas and people.
- Talent (62.8, Leading) — a deep talent pool — the scarcest input to building AI.
- Agentic (54.5, Strong) — agents are actively deployed — an early-mover productivity edge.
Risk factors
- Depth without scale — high per-capita intensity (MCC #24) but limited absolute weight (MPI #155): dense per resident, but small in total.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.