Bristol
Metro Power
29.9
of 100 · #134
MPI
29.9
MCC
48.4
MDI
46.7
Pillar profile
Talent49.0
Capital34.8
Research43.9
Infrastructure67.4
Agentic46.7
Indicators
- Population (m)0.9
- GDP ($bn)48
- GDP per capita ($k)50
- AI investment ($bn)1.6
- Tech employment %8.2
- AI talent63
- Research strength70
- Notable AI orgs22
- Compute / data centers58
- Broadband %95
- Tertiary degree %48
- Digital skills71
- Startup ecosystem67
- Agent adoption47
- Patents / 100k26
Nearest peers
- Manchester48.5
- Gothenburg48.3
- Nanjing48.3
- Oslo48.2
- Detroit48.7
Metro report · generated from Bristol's indicators
Bristol — metro standing in full
Bristol is the #140 metro by economic size ($48bn) in the panel and ranks #134/162 on absolute Metro Power and #61/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the United Kingdom national average (MCC 48.4 vs CC 70.1).
National context: United Kingdom scores CC 70.1 per-capita; Bristol sits at MCC 48.4.
Economic & scale context curated v1 estimate
GDP (metro)
$48bn
#140 of 162
GDP / capita
$50k
Population
0.9M
AI investment
$1.6bn
#104 of 162
Notable AI orgs
22
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Bristol's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Bristol sits |
|---|---|---|---|
| MPI Metro Power | 29.9 | Developing · #134/162 | 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 | 48.4 | Moderate · #61/162 | Mid-pack. High would mean deep capability per resident — a concentrated, high-intensity ecosystem; low would mean 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 | 46.7 | Moderate · #56/162 | 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 | 49.0 | Moderate · #50/162 | Mid-pack. High would mean a deep talent pool — the scarcest input to building AI; low would mean 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 | 34.8 | Moderate · #73/162 | Mid-pack. High would mean abundant capital flowing into building cognitive infrastructure; low would mean 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 | 43.9 | Moderate · #70/162 | 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 | 67.4 | Moderate · #73/162 | 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 | 46.7 | Moderate · #56/162 | 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
- No acute structural gaps stand out across the metro pillars.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.