Columbus
Metro Power
40.0
of 100 · #95
MPI
40.0
MCC
49.7
MDI
46.5
Pillar profile
Talent44.2
Capital33.9
Research46.7
Infrastructure77.3
Agentic46.5
Indicators
- Population (m)2.2
- GDP ($bn)160
- GDP per capita ($k)74.1
- AI investment ($bn)4
- Tech employment %11
- AI talent56
- Research strength78
- Notable AI orgs11
- Compute / data centers74
- Broadband %93
- Tertiary degree %40
- Digital skills78
- Startup ecosystem52
- Agent adoption52
- Patents / 100k85
Nearest peers
Metro report · generated from Columbus's indicators
Columbus — metro standing in full
Columbus is the #83 metro by economic size ($160bn) in the panel and ranks #95/162 on absolute Metro Power and #57/162 on per-capita intensity. Its strongest pillar is Infrastructure (77.3, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 49.7 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Columbus sits at MCC 49.7.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$160bn
#83 of 162
GDP / capita
$74k
Population
2.2M
AI investment
$4.0bn
#51 of 162
Notable AI orgs
11
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Columbus's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Columbus sits |
|---|---|---|---|
| MPI Metro Power | 40.0 | Moderate · #95/162 | Mid-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 Coefficient | 49.7 | Moderate · #57/162 | Mid-pack. High would mean deep capability per resident — a concentrated, high-intensity ecosystem; low would mean 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 | 46.5 | Moderate · #57/162 | Mid-pack. High would mean agents are widely deployed locally — a near-term productivity multiplier; low would mean 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 | 44.2 | Moderate · #78/162 | Mid-pack. High would mean a deep talent pool — the scarcest input to building AI; low would mean 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 | 33.9 | Moderate · #76/162 | 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 | 46.7 | Moderate · #59/162 | Mid-pack. High would mean a strong research base feeding a pipeline of ideas and people; low would mean 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 | 77.3 | Strong · #25/162 | 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 | 46.5 | Moderate · #57/162 | Mid-pack. High would mean agents are actively deployed — an early-mover productivity edge; low would mean 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
- Infrastructure (77.3, Strong) — the physical and digital rails to run AI at scale are in place.
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.