Los Angeles
Metro Power
74.9
of 100 · #9
MPI
74.9
MCC
64.7
MDI
66.0
Pillar profile
Talent55.1
Capital64.6
Research59.2
Infrastructure78.8
Agentic66.0
Indicators
- Population (m)12.9
- GDP ($bn)1,130
- GDP per capita ($k)87.8
- AI investment ($bn)24
- Tech employment %13
- AI talent72
- Research strength83
- Notable AI orgs35
- Compute / data centers72
- Broadband %94
- Tertiary degree %40
- Digital skills82
- Startup ecosystem76
- Agent adoption68
- Patents / 100k90
Nearest peers
Metro report · generated from Los Angeles's indicators
Los Angeles — metro standing in full
Los Angeles is the #3 metro by economic size ($1,130bn) in the panel and ranks #9/162 on absolute Metro Power and #13/162 on per-capita intensity. Its strongest pillar is Capital (64.6, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 64.7 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Los Angeles sits at MCC 64.7.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$1,130bn
#3 of 162
GDP / capita
$88k
Population
12.9M
AI investment
$24.0bn
#6 of 162
Notable AI orgs
35
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Los Angeles's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Los Angeles sits |
|---|---|---|---|
| MPI Metro Power | 74.9 | Leading · #9/162 | 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 | 64.7 | Leading · #13/162 | 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 | 66.0 | Leading · #9/162 | 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 | 55.1 | Strong · #29/162 | 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 | 64.6 | Leading · #8/162 | 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 | 59.2 | Strong · #26/162 | 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 | 78.8 | Strong · #21/162 | 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 | 66.0 | Leading · #9/162 | 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 (64.6, Leading) — abundant capital flowing into building cognitive infrastructure.
- Agentic (66.0, Leading) — agents are actively deployed — an early-mover productivity edge.
- Infrastructure (78.8, Strong) — 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.