Provo
Metro Power
24.7
of 100 · #143
MPI
24.7
MCC
44.6
MDI
43.7
Pillar profile
Talent45.6
Capital33.9
Research33.2
Infrastructure66.7
Agentic43.7
Indicators
- Population (m)0.7
- GDP ($bn)45
- GDP per capita ($k)63
- AI investment ($bn)1.5
- Tech employment %10.5
- AI talent56
- Research strength58
- Notable AI orgs13
- Compute / data centers60
- Broadband %93
- Tertiary degree %44
- Digital skills70
- Startup ecosystem66
- Agent adoption48
- Patents / 100k30
Nearest peers
Metro report · generated from Provo's indicators
Provo — metro standing in full
Provo is the #142 metro by economic size ($45bn) in the panel and ranks #143/162 on absolute Metro Power and #85/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research. Locally it runs below the United States national average (MCC 44.6 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Provo sits at MCC 44.6.
Economic & scale context curated v1 estimate
GDP (metro)
$45bn
#142 of 162
GDP / capita
$63k
Population
0.7M
AI investment
$1.5bn
#108 of 162
Notable AI orgs
13
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Provo's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Provo sits |
|---|---|---|---|
| MPI Metro Power | 24.7 | Lagging · #143/162 | 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 | 44.6 | Moderate · #85/162 | 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 | 43.7 | Moderate · #72/162 | 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 | 45.6 | Moderate · #70/162 | 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 | 33.9 | Moderate · #77/162 | 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 | 33.2 | Developing · #106/162 | 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 | 66.7 | Moderate · #79/162 | 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 | 43.7 | Moderate · #72/162 | 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 33.2 (#106/162, 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.