Edinburgh
Metro Power
29.3
of 100 · #135
MPI
29.3
MCC
47.8
MDI
44.8
Pillar profile
Talent50.2
Capital30.4
Research47.9
Infrastructure65.8
Agentic44.8
Indicators
- Population (m)0.9
- GDP ($bn)55
- GDP per capita ($k)61
- AI investment ($bn)2
- Tech employment %8.5
- AI talent58
- Research strength78
- Notable AI orgs20
- Compute / data centers48
- Broadband %95
- Tertiary degree %56
- Digital skills78
- Startup ecosystem56
- Agent adoption48
- Patents / 100k30
Nearest peers
- Brisbane47.8
- Abu Dhabi47.6
- Barcelona47.4
- Oslo48.2
- Gothenburg48.3
Metro report · generated from Edinburgh's indicators
Edinburgh — metro standing in full
Edinburgh is the #133 metro by economic size ($55bn) in the panel and ranks #135/162 on absolute Metro Power and #65/162 on per-capita intensity. Its strongest pillar is Talent (50.2, Strong); no single pillar is a binding weakness. Locally it runs below the United Kingdom national average (MCC 47.8 vs CC 70.1).
National context: United Kingdom scores CC 70.1 per-capita; Edinburgh sits at MCC 47.8.
Economic & scale context curated v1 estimate
GDP (metro)
$55bn
#133 of 162
GDP / capita
$61k
Population
0.9M
AI investment
$2.0bn
#87 of 162
Notable AI orgs
20
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Edinburgh's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Edinburgh sits |
|---|---|---|---|
| MPI Metro Power | 29.3 | Developing · #135/162 | 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 | 47.8 | Moderate · #65/162 | 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 | 44.8 | Moderate · #67/162 | 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 | 50.2 | Strong · #41/162 | 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 | 30.4 | Moderate · #95/162 | 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 | 47.9 | Moderate · #53/162 | 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 | 65.8 | Moderate · #84/162 | 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 | 44.8 | Moderate · #67/162 | 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
- Talent (50.2, Strong) — a deep talent pool — the scarcest input to building AI.
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.