Miami
Metro Power
55.9
of 100 · #41
MPI
55.9
MCC
51.2
MDI
49.3
Pillar profile
Talent41.5
Capital49.1
Research42.1
Infrastructure73.9
Agentic49.3
Indicators
- Population (m)6.1
- GDP ($bn)390
- GDP per capita ($k)63.5
- AI investment ($bn)9
- Tech employment %10
- AI talent56
- Research strength68
- Notable AI orgs16
- Compute / data centers70
- Broadband %92
- Tertiary degree %36
- Digital skills76
- Startup ecosystem66
- Agent adoption56
- Patents / 100k55
Nearest peers
Metro report · generated from Miami's indicators
Miami — metro standing in full
Miami is the #27 metro by economic size ($390bn) in the panel and ranks #41/162 on absolute Metro Power and #51/162 on per-capita intensity. Its strongest pillar is Capital (49.1, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 51.2 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Miami sits at MCC 51.2.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$390bn
#27 of 162
GDP / capita
$64k
Population
6.1M
AI investment
$9.0bn
#19 of 162
Notable AI orgs
16
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Miami's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Miami sits |
|---|---|---|---|
| MPI Metro Power | 55.9 | Strong · #41/162 | High here — a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem. ▲ 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 | 51.2 | Moderate · #51/162 | 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 | 49.3 | Strong · #43/162 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ 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 | 41.5 | Moderate · #88/162 | 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 | 49.1 | Strong · #23/162 | High here — abundant capital flowing into building cognitive infrastructure. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 42.1 | Moderate · #76/162 | 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 | 73.9 | Strong · #39/162 | 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 | 49.3 | Strong · #43/162 | High here — agents are actively deployed — an early-mover productivity edge. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- Capital (49.1, Strong) — abundant capital flowing into building cognitive infrastructure.
- Infrastructure (73.9, Strong) — the physical and digital rails to run AI at scale are in place.
- Agentic (49.3, Strong) — agents are actively deployed — an early-mover productivity edge.
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.