Salt Lake City
Metro Power
38.1
of 100 · #105
MPI
38.1
MCC
53.5
MDI
50.3
Pillar profile
Talent49.3
Capital45.2
Research48.8
Infrastructure74.0
Agentic50.3
Indicators
- Population (m)1.3
- GDP ($bn)120
- GDP per capita ($k)94.5
- AI investment ($bn)6
- Tech employment %15
- AI talent58
- Research strength72
- Notable AI orgs14
- Compute / data centers62
- Broadband %94
- Tertiary degree %40
- Digital skills82
- Startup ecosystem66
- Agent adoption56
- Patents / 100k140
Nearest peers
- Sydney53.9
- Lausanne53.1
- Gurugram-NCR53.1
- Munich54.0
- Guangzhou53.0
Metro report · generated from Salt Lake City's indicators
Salt Lake City — metro standing in full
Salt Lake City is the #98 metro by economic size ($120bn) in the panel and ranks #105/162 on absolute Metro Power and #41/162 on per-capita intensity. Its strongest pillar is Capital (45.2, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 53.5 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Salt Lake City sits at MCC 53.5.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$120bn
#98 of 162
GDP / capita
$94k
Population
1.3M
AI investment
$6.0bn
#35 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 Salt Lake City's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Salt Lake City sits |
|---|---|---|---|
| MPI Metro Power | 38.1 | Moderate · #105/162 | 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 | 53.5 | Strong · #41/162 | 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 | 50.3 | Strong · #36/162 | 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 | 49.3 | Moderate · #49/162 | 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 | 45.2 | Strong · #30/162 | High here — abundant capital flowing into building cognitive infrastructure. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 48.8 | Moderate · #50/162 | 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 | 74.0 | Strong · #38/162 | 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 | 50.3 | Strong · #36/162 | 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
- Capital (45.2, Strong) — abundant capital flowing into building cognitive infrastructure.
- Agentic (50.3, Strong) — agents are actively deployed — an early-mover productivity edge.
- Infrastructure (74.0, Strong) — the physical and digital rails to run AI at scale are in place.
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.