Dublin
Metro Power
47.8
of 100 · #70
MPI
47.8
MCC
54.2
MDI
47.2
Pillar profile
Talent52.7
Capital42.4
Research47.8
Infrastructure80.8
Agentic47.2
Indicators
- Population (m)2.2
- GDP ($bn)248.8
- GDP per capita ($k)113.6
- AI investment ($bn)5
- Tech employment %10
- AI talent60
- Research strength70
- Notable AI orgs34
- Compute / data centers80
- Broadband %94
- Tertiary degree %56
- Digital skills78
- Startup ecosystem64
- Agent adoption50
- Patents / 100k30
Nearest peers
- Portland OR54.1
- Berlin54.4
- Munich54.0
- Sydney53.9
- Philadelphia54.8
Metro report · generated from Dublin's indicators
Dublin — metro standing in full
Dublin is the #50 metro by economic size ($249bn) in the panel and ranks #70/162 on absolute Metro Power and #37/162 on per-capita intensity. Its strongest pillar is Infrastructure (80.8, Leading); no single pillar is a binding weakness. Locally it runs below the Ireland national average (MCC 54.2 vs CC 62.2).
National context: Ireland scores CC 62.2 per-capita; Dublin sits at MCC 54.2.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$249bn
#50 of 162
GDP / capita
$114k
Population
2.2M
AI investment
$5.0bn
#44 of 162
Notable AI orgs
34
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Dublin's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Dublin sits |
|---|---|---|---|
| MPI Metro Power | 47.8 | Moderate · #70/162 | Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean 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 | 54.2 | Strong · #37/162 | 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 | 47.2 | Moderate · #53/162 | 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 | 52.7 | Strong · #35/162 | 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 | 42.4 | Strong · #42/162 | 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 | 47.8 | Moderate · #54/162 | 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 | 80.8 | Leading · #12/162 | High here — the physical and digital rails to run AI at scale are in place. ▲ 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 | 47.2 | Moderate · #53/162 | 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
- Infrastructure (80.8, Leading) — the physical and digital rails to run AI at scale are in place.
- Talent (52.7, Strong) — a deep talent pool — the scarcest input to building AI.
- Capital (42.4, Strong) — abundant capital flowing into building cognitive infrastructure.
Risk factors
- No acute structural gaps stand out across the metro pillars.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.