Comparison report — Washington DC
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | Washington DC |
|---|---|
| GDP | $640bn |
| GDP / capita | $100k |
| Population | 6.4M |
| AI investment | $18.0bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | Washington DC |
|---|---|
| MPI | 67.2 |
| MCC | 70.0 |
| MDI | 71.2 |
| Talent | 65.6 |
| Capital | 58.3 |
| Research | 61.5 |
| Infrastructure | 93.5 |
| Agentic | 71.2 |
Per-item analysis
Washington DC
Washington DC is the #12 metro by economic size ($640bn) in the panel and ranks #19/162 on absolute Metro Power and #7/162 on per-capita intensity. Its strongest pillar is Infrastructure (93.5, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 70.0 vs CC 86.7).
Strengths
- Infrastructure (93.5, Leading) — the physical and digital rails to run AI at scale are in place.
- Agentic (71.2, Leading) — agents are actively deployed — an early-mover productivity edge.
- Talent (65.6, Leading) — a deep talent pool — the scarcest input to building AI.
Risk factors
- No acute structural gaps stand out across the metro pillars.
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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.