Comparison report — Raleigh-Durham
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | Raleigh-Durham |
|---|---|
| GDP | $170bn |
| GDP / capita | $115k |
| Population | 1.5M |
| AI investment | $6.0bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | Raleigh-Durham |
|---|---|
| MPI | 42.5 |
| MCC | 60.0 |
| MDI | 58.3 |
| Talent | 60.4 |
| Capital | 45.2 |
| Research | 60.4 |
| Infrastructure | 75.9 |
| Agentic | 58.3 |
Per-item analysis
Raleigh-Durham
Raleigh-Durham is the #76 metro by economic size ($170bn) in the panel and ranks #87/162 on absolute Metro Power and #20/162 on per-capita intensity. Its strongest pillar is Talent (60.4, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 60.0 vs CC 86.7).
Strengths
- Talent (60.4, Strong) — a deep talent pool — the scarcest input to building AI.
- Agentic (58.3, Strong) — agents are actively deployed — an early-mover productivity edge.
- Research (60.4, Strong) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- Depth without scale — high per-capita intensity (MCC #20) but limited absolute weight (MPI #87): dense per resident, but small in total.
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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.