Boise
Metro Power
21.4
of 100 · #158
MPI
21.4
MCC
36.6
MDI
35.4
Pillar profile
Talent35.5
Capital25.4
Research25.5
Infrastructure61.3
Agentic35.4
Indicators
- Population (m)0.8
- GDP ($bn)50
- GDP per capita ($k)62
- AI investment ($bn)0.9
- Tech employment %7.5
- AI talent48
- Research strength50
- Notable AI orgs9
- Compute / data centers57
- Broadband %91
- Tertiary degree %38
- Digital skills64
- Startup ecosystem56
- Agent adoption42
- Patents / 100k26
Nearest peers
- Rome36.3
- Tampa36.3
- Indianapolis37.0
- Sacramento37.1
- Kuala Lumpur36.0
Metro report · generated from Boise's indicators
Boise — metro standing in full
Boise is the #137 metro by economic size ($50bn) in the panel and ranks #158/162 on absolute Metro Power and #114/162 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 36.6 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Boise sits at MCC 36.6.
Economic & scale context curated v1 estimate
GDP (metro)
$50bn
#137 of 162
GDP / capita
$62k
Population
0.8M
AI investment
$0.9bn
#133 of 162
Notable AI orgs
9
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Boise's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Boise sits |
|---|---|---|---|
| MPI Metro Power | 21.4 | Lagging · #158/162 | 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 | 36.6 | Developing · #114/162 | Low here — 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 | 35.4 | Developing · #112/162 | Low here — 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 | 35.5 | Developing · #111/162 | Low here — 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 | 25.4 | Developing · #126/162 | 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 | 25.5 | Developing · #134/162 | 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 | 61.3 | Developing · #107/162 | Low here — 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 | 35.4 | Developing · #112/162 | Low here — 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 25.5 (#134/162, 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.