Comparison report — San Francisco Bay Area
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | San Francisco Bay Area |
|---|---|
| GDP | $1,050bn |
| GDP / capita | $229k |
| Population | 4.6M |
| AI investment | $190.0bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | San Francisco Bay Area |
|---|---|
| MPI | 85.4 |
| MCC | 98.6 |
| MDI | 100.0 |
| Talent | 95.5 |
| Capital | 100.0 |
| Research | 100.0 |
| Infrastructure | 97.4 |
| Agentic | 100.0 |
Per-item analysis
San Francisco Bay Area
San Francisco Bay Area is the #5 metro by economic size ($1,050bn) in the panel and ranks #2/162 on absolute Metro Power and #1/162 on per-capita intensity. Its strongest pillar is Talent (95.5, Leading); no single pillar is a binding weakness. Locally it runs above the United States national average (MCC 98.6 vs CC 86.7).
Strengths
- Talent (95.5, Leading) — a deep talent pool — the scarcest input to building AI.
- Capital (100.0, Leading) — abundant capital flowing into building cognitive infrastructure.
- Research (100.0, Leading) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- Concentration — San Francisco Bay Area runs well above its national average (MCC 98.6 vs United States CC 86.7), a sign cognitive capacity is concentrating in the metro.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.