New York
Metro Power
87.1
of 100 · #1
MPI
87.1
MCC
75.9
MDI
79.5
Pillar profile
Talent67.2
Capital79.4
Research67.3
Infrastructure86.1
Agentic79.5
Indicators
- Population (m)19.6
- GDP ($bn)2,050
- GDP per capita ($k)104.5
- AI investment ($bn)52
- Tech employment %16
- AI talent82
- Research strength90
- Notable AI orgs55
- Compute / data centers80
- Broadband %95
- Tertiary degree %48
- Digital skills88
- Startup ecosystem88
- Agent adoption80
- Patents / 100k95
Nearest peers
- Boston78.4
- Beijing72.7
- Tel Aviv70.7
- Seattle81.2
- Washington DC70.0
Metro report · generated from New York's indicators
New York — metro standing in full
New York is the #1 metro by economic size ($2,050bn) in the panel and ranks #1/162 on absolute Metro Power and #4/162 on per-capita intensity. Its strongest pillar is Capital (79.4, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 75.9 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; New York sits at MCC 75.9.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$2,050bn
#1 of 162
GDP / capita
$104k
Population
19.6M
AI investment
$52.0bn
#2 of 162
Notable AI orgs
55
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and New York's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where New York sits |
|---|---|---|---|
| MPI Metro Power | 87.1 | Leading · #1/162 | 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 | 75.9 | Leading · #4/162 | High here — deep capability per resident — a concentrated, high-intensity ecosystem. ▲ 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 | 79.5 | Leading · #4/162 | 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 | 67.2 | Leading · #8/162 | High here — a deep talent pool — the scarcest input to building AI. ▲ 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 | 79.4 | Leading · #2/162 | 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 | 67.3 | Leading · #10/162 | High here — a strong research base feeding a pipeline of ideas and people. ▲ 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 | 86.1 | Leading · #5/162 | 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 | 79.5 | Leading · #4/162 | 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 (79.4, Leading) — abundant capital flowing into building cognitive infrastructure.
- Agentic (79.5, Leading) — agents are actively deployed — an early-mover productivity edge.
- Infrastructure (86.1, Leading) — 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.