Comparison report — Seattle
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | Seattle |
|---|---|
| GDP | $480bn |
| GDP / capita | $119k |
| Population | 4.0M |
| AI investment | $34.0bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | Seattle |
|---|---|
| MPI | 68.8 |
| MCC | 81.2 |
| MDI | 83.0 |
| Talent | 80.1 |
| Capital | 71.6 |
| Research | 80.9 |
| Infrastructure | 90.6 |
| Agentic | 83.0 |
Per-item analysis
Seattle
Seattle is the #19 metro by economic size ($480bn) in the panel and ranks #17/162 on absolute Metro Power and #2/162 on per-capita intensity. Its strongest pillar is Talent (80.1, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 81.2 vs CC 86.7).
Strengths
- Talent (80.1, Leading) — a deep talent pool — the scarcest input to building AI.
- Agentic (83.0, Leading) — agents are actively deployed — an early-mover productivity edge.
- Research (80.9, Leading) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- No acute structural gaps stand out across the metro pillars.
▲
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.