Busan
Metro Power
39.6
of 100 · #97
MPI
39.6
MCC
44.6
MDI
39.9
Pillar profile
Talent45.8
Capital28.0
Research36.6
Infrastructure72.5
Agentic39.9
Indicators
- Population (m)3.4
- GDP ($bn)110
- GDP per capita ($k)32
- AI investment ($bn)1.4
- Tech employment %6.8
- AI talent54
- Research strength60
- Notable AI orgs15
- Compute / data centers62
- Broadband %98
- Tertiary degree %55
- Digital skills74
- Startup ecosystem56
- Agent adoption44
- Patents / 100k48
Nearest peers
Metro report · generated from Busan's indicators
Busan — metro standing in full
Busan is the #106 metro by economic size ($110bn) in the panel and ranks #97/162 on absolute Metro Power and #86/162 on per-capita intensity. Its strongest pillar is Infrastructure (72.5, Strong); the binding concern is capital. Locally it runs below the South Korea national average (MCC 44.6 vs CC 74.3).
National context: South Korea scores CC 74.3 per-capita; Busan sits at MCC 44.6.
Economic & scale context curated v1 estimate
GDP (metro)
$110bn
#106 of 162
GDP / capita
$32k
Population
3.4M
AI investment
$1.4bn
#115 of 162
Notable AI orgs
15
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Busan's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Busan sits |
|---|---|---|---|
| MPI Metro Power | 39.6 | Moderate · #97/162 | 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 | 44.6 | Moderate · #86/162 | 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 | 39.9 | Moderate · #95/162 | 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 | 45.8 | Moderate · #69/162 | 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 | 28.0 | Developing · #111/162 | 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 | 36.6 | Moderate · #95/162 | 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 | 72.5 | Strong · #47/162 | 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 | 39.9 | Moderate · #95/162 | 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 (72.5, Strong) — the physical and digital rails to run AI at scale are in place.
Risk factors
- Binding weakness — Capital 28.0 (#111/162, Developing): thin investment — good ideas struggle to scale locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.