Calgary
Metro Power
31.9
of 100 · #128
MPI
31.9
MCC
41.6
MDI
38.9
Pillar profile
Talent42.6
Capital29.1
Research31.0
Infrastructure66.2
Agentic38.9
Indicators
- Population (m)1.6
- GDP ($bn)120
- GDP per capita ($k)75
- AI investment ($bn)1.4
- Tech employment %7
- AI talent52
- Research strength56
- Notable AI orgs12
- Compute / data centers62
- Broadband %92
- Tertiary degree %50
- Digital skills68
- Startup ecosystem58
- Agent adoption44
- Patents / 100k24
Nearest peers
Metro report · generated from Calgary's indicators
Calgary — metro standing in full
Calgary is the #100 metro by economic size ($120bn) in the panel and ranks #128/162 on absolute Metro Power and #101/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research. Locally it runs below the Canada national average (MCC 41.6 vs CC 65.3).
National context: Canada scores CC 65.3 per-capita; Calgary sits at MCC 41.6.
Economic & scale context curated v1 estimate
GDP (metro)
$120bn
#100 of 162
GDP / capita
$75k
Population
1.6M
AI investment
$1.4bn
#112 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 Calgary's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Calgary sits |
|---|---|---|---|
| MPI Metro Power | 31.9 | Developing · #128/162 | 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 | 41.6 | Moderate · #101/162 | 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 | 38.9 | Moderate · #101/162 | 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 | 42.6 | Moderate · #83/162 | 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 | 29.1 | Moderate · #103/162 | 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 | 31.0 | Developing · #115/162 | Low here — 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 | 66.2 | Moderate · #83/162 | 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 | 38.9 | Moderate · #101/162 | 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 — Research 31.0 (#115/162, Developing): a weak research base — fewer home-grown breakthroughs and spinouts.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.