Comparison report — Singapore
A detailed read across 1 metros, with every index and a per-item analysis. Model outputs & scenario estimates — not predictions.
Economic & scale context
| Measure | Singapore |
|---|---|
| GDP | $510bn |
| GDP / capita | $86k |
| Population | 5.9M |
| AI investment | $9.5bn |
All indices, side by side
Best value in each row highlighted. Hover an index name for its definition.
| Index | Singapore |
|---|---|
| MPI | 63.1 |
| MCC | 65.0 |
| MDI | 61.8 |
| Talent | 62.3 |
| Capital | 56.2 |
| Research | 56.7 |
| Infrastructure | 87.8 |
| Agentic | 61.8 |
Per-item analysis
Singapore
Singapore is the #16 metro by economic size ($510bn) in the panel and ranks #26/162 on absolute Metro Power and #12/162 on per-capita intensity. Its strongest pillar is Infrastructure (87.8, Leading); no single pillar is a binding weakness. Locally it runs below the Singapore national average (MCC 65.0 vs CC 73.9).
Strengths
- Infrastructure (87.8, Leading) — the physical and digital rails to run AI at scale are in place.
- Talent (62.3, Leading) — a deep talent pool — the scarcest input to building AI.
- Capital (56.2, Leading) — abundant capital flowing into building cognitive infrastructure.
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.