Vancouver
Metro Power
45.1
of 100 · #77
MPI
45.1
MCC
52.5
MDI
50.7
Pillar profile
Talent56.8
Capital36.9
Research46.7
Infrastructure71.5
Agentic50.7
Indicators
- Population (m)2.7
- GDP ($bn)160
- GDP per capita ($k)59
- AI investment ($bn)3
- Tech employment %10
- AI talent64
- Research strength68
- Notable AI orgs25
- Compute / data centers62
- Broadband %93
- Tertiary degree %60
- Digital skills78
- Startup ecosystem62
- Agent adoption52
- Patents / 100k70
Nearest peers
- Minneapolis52.6
- Hong Kong52.6
- Copenhagen52.7
- Guangzhou53.0
- Lausanne53.1
Metro report · generated from Vancouver's indicators
Vancouver — metro standing in full
Vancouver is the #85 metro by economic size ($160bn) in the panel and ranks #77/162 on absolute Metro Power and #48/162 on per-capita intensity. Its strongest pillar is Talent (56.8, Strong); no single pillar is a binding weakness. Locally it runs below the Canada national average (MCC 52.5 vs CC 65.3).
National context: Canada scores CC 65.3 per-capita; Vancouver sits at MCC 52.5.
Economic & scale context curated v1 estimate
GDP (metro)
$160bn
#85 of 162
GDP / capita
$59k
Population
2.7M
AI investment
$3.0bn
#70 of 162
Notable AI orgs
25
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Vancouver's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Vancouver sits |
|---|---|---|---|
| MPI Metro Power | 45.1 | Moderate · #77/162 | 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 | 52.5 | Strong · #48/162 | 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 | 50.7 | Strong · #35/162 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ 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 | 56.8 | Strong · #22/162 | 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 | 36.9 | Moderate · #64/162 | 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 | 46.7 | Moderate · #60/162 | 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 | 71.5 | Moderate · #53/162 | 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 | 50.7 | Strong · #35/162 | High here — agents are actively deployed — an early-mover productivity edge. ▲ 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 (56.8, Strong) — a deep talent pool — the scarcest input to building AI.
- Agentic (50.7, Strong) — agents are actively deployed — an early-mover productivity edge.
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.