Kansas City
Metro Power
33.5
of 100 · #125
MPI
33.5
MCC
36.0
MDI
33.0
Pillar profile
Talent32.9
Capital25.8
Research25.8
Infrastructure62.7
Agentic33.0
Indicators
- Population (m)2.2
- GDP ($bn)160
- GDP per capita ($k)73
- AI investment ($bn)1.4
- Tech employment %6
- AI talent46
- Research strength50
- Notable AI orgs10
- Compute / data centers63
- Broadband %90
- Tertiary degree %38
- Digital skills62
- Startup ecosystem52
- Agent adoption40
- Patents / 100k18
Nearest peers
- Kuala Lumpur36.0
- Rome36.3
- Buenos Aires35.7
- Tampa36.3
- Monterrey35.7
Metro report · generated from Kansas City's indicators
Kansas City — metro standing in full
Kansas City is the #88 metro by economic size ($160bn) in the panel and ranks #125/162 on absolute Metro Power and #118/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research. Locally it runs below the United States national average (MCC 36.0 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Kansas City sits at MCC 36.0.
Economic & scale context curated v1 estimate
GDP (metro)
$160bn
#88 of 162
GDP / capita
$73k
Population
2.2M
AI investment
$1.4bn
#110 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 Kansas City's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Kansas City sits |
|---|---|---|---|
| MPI Metro Power | 33.5 | Developing · #125/162 | 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 | 36.0 | Developing · #118/162 | 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 | 33.0 | Developing · #120/162 | 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 | 32.9 | Developing · #122/162 | 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 | 25.8 | Developing · #125/162 | 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 | 25.8 | Developing · #132/162 | 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 | 62.7 | Moderate · #99/162 | 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 | 33.0 | Developing · #120/162 | 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 — Research 25.8 (#132/162, Developing): a weak research base — fewer home-grown breakthroughs and spinouts.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.