Comparison report — St. Louis
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | St. Louis |
|---|---|
| GDP | $185bn |
| GDP / capita | $66k |
| Population | 2.8M |
| AI investment | $1.8bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | St. Louis |
|---|---|
| MPI | 38.4 |
| MCC | 39.3 |
| MDI | 36.4 |
| Talent | 35.4 |
| Capital | 29.1 |
| Research | 32.8 |
| Infrastructure | 62.7 |
| Agentic | 36.4 |
Per-item analysis
St. Louis
St. Louis is the #66 metro by economic size ($185bn) in the panel and ranks #102/162 on absolute Metro Power and #110/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is talent. Locally it runs below the United States national average (MCC 39.3 vs CC 86.7).
Strengths
- No standout strength.
Risk factors
- Binding weakness — Talent 35.4 (#112/162, Developing): a shallow talent base that constrains how much can be built locally.
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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.