Birmingham UK
Metro Power
37.2
of 100 · #110
MPI
37.2
MCC
40.7
MDI
37.8
Pillar profile
Talent37.9
Capital28.0
Research35.9
Infrastructure64.0
Agentic37.8
Indicators
- Population (m)2.6
- GDP ($bn)95
- GDP per capita ($k)37
- AI investment ($bn)1.4
- Tech employment %5.6
- AI talent54
- Research strength60
- Notable AI orgs18
- Compute / data centers60
- Broadband %94
- Tertiary degree %40
- Digital skills63
- Startup ecosystem56
- Agent adoption41
- Patents / 100k15
Nearest peers
Metro report · generated from Birmingham UK's indicators
Birmingham UK — metro standing in full
Birmingham UK is the #117 metro by economic size ($95bn) in the panel and ranks #110/162 on absolute Metro Power and #106/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the United Kingdom national average (MCC 40.7 vs CC 70.1).
National context: United Kingdom scores CC 70.1 per-capita; Birmingham UK sits at MCC 40.7.
Economic & scale context curated v1 estimate
GDP (metro)
$95bn
#117 of 162
GDP / capita
$37k
Population
2.6M
AI investment
$1.4bn
#113 of 162
Notable AI orgs
18
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Birmingham UK's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Birmingham UK sits |
|---|---|---|---|
| MPI Metro Power | 37.2 | Developing · #110/162 | 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 | 40.7 | Developing · #106/162 | Low here — thin intensity per resident — capability is sparse relative to the population. ▲ 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 | 37.8 | Moderate · #103/162 | Mid-pack. High would mean agents are widely deployed locally — a near-term productivity multiplier; low would mean agentic deployment is shallow — the local agent lever is under-used. ▲ 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 | 37.9 | Developing · #106/162 | Low here — a shallow talent base that constrains how much can be built locally. ▲ 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 | 28.0 | Developing · #110/162 | Low here — thin investment — good ideas struggle to scale locally. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 35.9 | Moderate · #101/162 | Mid-pack. High would mean a strong research base feeding a pipeline of ideas and people; low would mean a weak research base — fewer home-grown breakthroughs and spinouts. ▲ 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 | 64.0 | Moderate · #94/162 | 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 | 37.8 | Moderate · #103/162 | Mid-pack. High would mean agents are actively deployed — an early-mover productivity edge; low would mean little agentic deployment — the near-term lever is unused. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Capital 28.0 (#110/162, Developing): thin investment — good ideas struggle to scale locally.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.