Nashville
Metro Power
37.6
of 100 · #108
MPI
37.6
MCC
44.9
MDI
43.0
Pillar profile
Talent39.2
Capital35.0
Research40.5
Infrastructure67.0
Agentic43.0
Indicators
- Population (m)2.0
- GDP ($bn)160
- GDP per capita ($k)78.0
- AI investment ($bn)4
- Tech employment %9
- AI talent52
- Research strength70
- Notable AI orgs10
- Compute / data centers56
- Broadband %92
- Tertiary degree %38
- Digital skills76
- Startup ecosystem54
- Agent adoption50
- Patents / 100k70
Nearest peers
Metro report · generated from Nashville's indicators
Nashville — metro standing in full
Nashville is the #82 metro by economic size ($160bn) in the panel and ranks #108/162 on absolute Metro Power and #83/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 44.9 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Nashville sits at MCC 44.9.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$160bn
#82 of 162
GDP / capita
$78k
Population
2.0M
AI investment
$4.0bn
#49 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 Nashville's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Nashville sits |
|---|---|---|---|
| MPI Metro Power | 37.6 | Developing · #108/162 | 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 | 44.9 | Moderate · #83/162 | 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 | 43.0 | Moderate · #77/162 | 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 | 39.2 | Moderate · #101/162 | 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 | 35.0 | Moderate · #71/162 | 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 | 40.5 | Moderate · #84/162 | 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 | 67.0 | Moderate · #77/162 | 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 | 43.0 | Moderate · #77/162 | 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
- No pillar stands out as a clear strength yet.
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.