Auckland
Metro Power
31.7
of 100 · #130
MPI
31.7
MCC
42.4
MDI
40.3
Pillar profile
Talent45.4
Capital23.8
Research35.8
Infrastructure66.5
Agentic40.3
Indicators
- Population (m)1.7
- GDP ($bn)110
- GDP per capita ($k)65
- AI investment ($bn)1
- Tech employment %8
- AI talent52
- Research strength62
- Notable AI orgs12
- Compute / data centers58
- Broadband %91
- Tertiary degree %54
- Digital skills74
- Startup ecosystem52
- Agent adoption46
- Patents / 100k45
Nearest peers
Metro report · generated from Auckland's indicators
Auckland — metro standing in full
Auckland is the #104 metro by economic size ($110bn) in the panel and ranks #130/162 on absolute Metro Power and #95/162 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 42.4 vs CC 56.3).
National context: New Zealand scores CC 56.3 per-capita; Auckland sits at MCC 42.4.
Economic & scale context curated v1 estimate
GDP (metro)
$110bn
#104 of 162
GDP / capita
$65k
Population
1.7M
AI investment
$1.0bn
#128 of 162
Notable AI orgs
12
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Auckland's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Auckland sits |
|---|---|---|---|
| MPI Metro Power | 31.7 | Developing · #130/162 | 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 | 42.4 | Moderate · #95/162 | 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 | 40.3 | Moderate · #93/162 | 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 | 45.4 | Moderate · #72/162 | 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 | 23.8 | Developing · #132/162 | 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 | 35.8 | Moderate · #102/162 | 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 | 66.5 | Moderate · #81/162 | 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 | 40.3 | Moderate · #93/162 | 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 23.8 (#132/162, 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.