San Diego
Metro Power
54.1
of 100 · #48
MPI
54.1
MCC
62.5
MDI
62.1
Pillar profile
Talent55.9
Capital53.3
Research66.3
Infrastructure75.0
Agentic62.1
Indicators
- Population (m)3.3
- GDP ($bn)280
- GDP per capita ($k)85.4
- AI investment ($bn)11
- Tech employment %14
- AI talent70
- Research strength85
- Notable AI orgs24
- Compute / data centers62
- Broadband %95
- Tertiary degree %42
- Digital skills83
- Startup ecosystem70
- Agent adoption64
- Patents / 100k230
Nearest peers
- Seoul61.5
- Boulder63.7
- Toronto64.1
- Hangzhou60.9
- Los Angeles64.7
Metro report · generated from San Diego's indicators
San Diego — metro standing in full
San Diego is the #40 metro by economic size ($280bn) in the panel and ranks #48/162 on absolute Metro Power and #16/162 on per-capita intensity. Its strongest pillar is Research (66.3, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 62.5 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; San Diego sits at MCC 62.5.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$280bn
#40 of 162
GDP / capita
$85k
Population
3.3M
AI investment
$11.0bn
#15 of 162
Notable AI orgs
24
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and San Diego's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where San Diego sits |
|---|---|---|---|
| MPI Metro Power | 54.1 | Strong · #48/162 | 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 | 62.5 | Leading · #16/162 | 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 | 62.1 | Leading · #13/162 | 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 | 55.9 | Strong · #26/162 | 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 | 53.3 | Strong · #18/162 | 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 | 66.3 | Leading · #11/162 | 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 | 75.0 | Strong · #34/162 | 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 | 62.1 | Leading · #13/162 | 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
- Research (66.3, Leading) — a strong research base feeding a pipeline of ideas and people.
- Agentic (62.1, Leading) — agents are actively deployed — an early-mover productivity edge.
- Capital (53.3, Strong) — abundant capital flowing into building cognitive infrastructure.
Risk factors
- No acute structural gaps stand out across the metro pillars.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.