Indianapolis
Metro Power
33.9
of 100 · #121
MPI
33.9
MCC
37.0
MDI
34.2
Pillar profile
Talent33.2
Capital26.8
Research28.5
Infrastructure62.2
Agentic34.2
Indicators
- Population (m)2.1
- GDP ($bn)165
- GDP per capita ($k)79
- AI investment ($bn)1.5
- Tech employment %6.2
- AI talent47
- Research strength53
- Notable AI orgs11
- Compute / data centers62
- Broadband %90
- Tertiary degree %37
- Digital skills62
- Startup ecosystem53
- Agent adoption41
- Patents / 100k22
Nearest peers
- Sacramento37.1
- Boise36.6
- Rome36.3
- Tampa36.3
- Kuala Lumpur36.0
Metro report · generated from Indianapolis's indicators
Indianapolis — metro standing in full
Indianapolis is the #81 metro by economic size ($165bn) in the panel and ranks #121/162 on absolute Metro Power and #113/162 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 37.0 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Indianapolis sits at MCC 37.0.
Economic & scale context curated v1 estimate
GDP (metro)
$165bn
#81 of 162
GDP / capita
$79k
Population
2.1M
AI investment
$1.5bn
#107 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 Indianapolis's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Indianapolis sits |
|---|---|---|---|
| MPI Metro Power | 33.9 | Developing · #121/162 | 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 | 37.0 | Developing · #113/162 | 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 | 34.2 | Developing · #114/162 | 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 | 33.2 | Developing · #121/162 | 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 | 26.8 | Developing · #120/162 | 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 | 28.5 | Developing · #123/162 | 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 | 62.2 | Moderate · #103/162 | 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 | 34.2 | Developing · #114/162 | 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 28.5 (#123/162, 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.