Cambridge UK
Metro Power
25.6
of 100 · #141
MPI
25.6
MCC
60.0
MDI
57.3
Pillar profile
Talent69.9
Capital42.6
Research62.7
Infrastructure67.3
Agentic57.3
Indicators
- Population (m)0.3
- GDP ($bn)35
- GDP per capita ($k)117
- AI investment ($bn)4
- Tech employment %14
- AI talent74
- Research strength92
- Notable AI orgs30
- Compute / data centers46
- Broadband %96
- Tertiary degree %68
- Digital skills82
- Startup ecosystem68
- Agent adoption54
- Patents / 100k85
Nearest peers
- Raleigh-Durham60.0
- Paris59.8
- Chicago60.3
- Montreal59.3
- Hangzhou60.9
Metro report · generated from Cambridge UK's indicators
Cambridge UK — metro standing in full
Cambridge UK is the #150 metro by economic size ($35bn) in the panel and ranks #141/162 on absolute Metro Power and #21/162 on per-capita intensity. Its strongest pillar is Talent (69.9, Leading); no single pillar is a binding weakness. Locally it runs below the United Kingdom national average (MCC 60.0 vs CC 70.1).
National context: United Kingdom scores CC 70.1 per-capita; Cambridge UK sits at MCC 60.0.
Economic & scale context curated v1 estimate
GDP (metro)
$35bn
#150 of 162
GDP / capita
$117k
Population
0.3M
AI investment
$4.0bn
#55 of 162
Notable AI orgs
30
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Cambridge UK's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Cambridge UK sits |
|---|---|---|---|
| MPI Metro Power | 25.6 | Developing · #141/162 | Low here — limited absolute weight — a smaller node that leans on capacity built in larger hubs. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight — a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 60.0 | Strong · #21/162 | High here — deep capability per resident — a concentrated, high-intensity ecosystem. ▲ high: deep capability per resident — a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident — capability is sparse relative to the population |
| MDI Metro Agentic | 57.3 | Strong · #23/162 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ high: agents are widely deployed locally — a near-term productivity multiplier · ▼ low: agentic deployment is shallow — the local agent lever is under-used |
| Talent Talent | 69.9 | Leading · #5/162 | High here — a deep talent pool — the scarcest input to building AI. ▲ high: a deep talent pool — the scarcest input to building AI · ▼ low: a shallow talent base that constrains how much can be built locally |
| Capital Capital | 42.6 | Strong · #41/162 | High here — abundant capital flowing into building cognitive infrastructure. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 62.7 | Leading · #16/162 | High here — a strong research base feeding a pipeline of ideas and people. ▲ high: a strong research base feeding a pipeline of ideas and people · ▼ low: a weak research base — fewer home-grown breakthroughs and spinouts |
| Infrastructure Infrastructure | 67.3 | Moderate · #75/162 | Mid-pack. High would mean the physical and digital rails to run AI at scale are in place; low would mean infrastructure gaps cap how much AI can actually be run locally. ▲ high: the physical and digital rails to run AI at scale are in place · ▼ low: infrastructure gaps cap how much AI can actually be run locally |
| Agentic Agentic | 57.3 | Strong · #23/162 | High here — agents are actively deployed — an early-mover productivity edge. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- Talent (69.9, Leading) — a deep talent pool — the scarcest input to building AI.
- Research (62.7, Leading) — a strong research base feeding a pipeline of ideas and people.
- Agentic (57.3, Strong) — agents are actively deployed — an early-mover productivity edge.
Risk factors
- Depth without scale — high per-capita intensity (MCC #21) but limited absolute weight (MPI #141): dense per resident, but small in total.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.