Cincinnati
Metro Power
33.8
of 100 · #123
MPI
33.8
MCC
35.4
MDI
32.4
Pillar profile
Talent31.2
Capital24.7
Research27.3
Infrastructure61.2
Agentic32.4
Indicators
- Population (m)2.3
- GDP ($bn)175
- GDP per capita ($k)76
- AI investment ($bn)1.4
- Tech employment %5.8
- AI talent45
- Research strength52
- Notable AI orgs10
- Compute / data centers61
- Broadband %90
- Tertiary degree %36
- Digital skills61
- Startup ecosystem50
- Agent adoption40
- Patents / 100k24
Nearest peers
- Doha35.5
- Santiago35.5
- Guadalajara35.2
- Buenos Aires35.7
- Monterrey35.7
Metro report · generated from Cincinnati's indicators
Cincinnati — metro standing in full
Cincinnati is the #74 metro by economic size ($175bn) in the panel and ranks #123/162 on absolute Metro Power and #123/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the United States national average (MCC 35.4 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Cincinnati sits at MCC 35.4.
Economic & scale context curated v1 estimate
GDP (metro)
$175bn
#74 of 162
GDP / capita
$76k
Population
2.3M
AI investment
$1.4bn
#111 of 162
Notable AI orgs
10
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Cincinnati's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Cincinnati sits |
|---|---|---|---|
| MPI Metro Power | 33.8 | Developing · #123/162 | 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 | 35.4 | Developing · #123/162 | Low here — 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 | 32.4 | Developing · #121/162 | Low here — 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 | 31.2 | Developing · #127/162 | Low here — 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 | 24.7 | Developing · #131/162 | 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 | 27.3 | Developing · #127/162 | Low here — 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 | 61.2 | Developing · #109/162 | Low here — 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 | 32.4 | Developing · #121/162 | Low here — 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 24.7 (#131/162, 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.