Wellington
Metro Power
21.2
of 100 · #159
MPI
21.2
MCC
45.2
MDI
44.8
Pillar profile
Talent48.8
Capital27.6
Research36.2
Infrastructure68.6
Agentic44.8
Indicators
- Population (m)0.6
- GDP ($bn)41
- GDP per capita ($k)75
- AI investment ($bn)0.9
- Tech employment %9
- AI talent58
- Research strength62
- Notable AI orgs14
- Compute / data centers60
- Broadband %93
- Tertiary degree %52
- Digital skills74
- Startup ecosystem60
- Agent adoption48
- Patents / 100k32
Nearest peers
Metro report · generated from Wellington's indicators
Wellington — metro standing in full
Wellington is the #145 metro by economic size ($41bn) in the panel and ranks #159/162 on absolute Metro Power and #80/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the New Zealand national average (MCC 45.2 vs CC 56.3).
National context: New Zealand scores CC 56.3 per-capita; Wellington sits at MCC 45.2.
Economic & scale context curated v1 estimate
GDP (metro)
$41bn
#145 of 162
GDP / capita
$75k
Population
0.6M
AI investment
$0.9bn
#135 of 162
Notable AI orgs
14
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Wellington's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Wellington sits |
|---|---|---|---|
| MPI Metro Power | 21.2 | Lagging · #159/162 | 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 | 45.2 | Moderate · #80/162 | 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 · #69/162 | 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 | 48.8 | Moderate · #52/162 | 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 | 27.6 | Developing · #115/162 | 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 | 36.2 | Moderate · #99/162 | 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 | 68.6 | Moderate · #68/162 | 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 · #69/162 | 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 27.6 (#115/162, 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.