Madison
Metro Power
23.8
of 100 · #148
MPI
23.8
MCC
45.6
MDI
43.4
Pillar profile
Talent48.3
Capital28.7
Research41.9
Infrastructure65.8
Agentic43.4
Indicators
- Population (m)0.7
- GDP ($bn)55
- GDP per capita ($k)81
- AI investment ($bn)1.1
- Tech employment %8.5
- AI talent58
- Research strength72
- Notable AI orgs14
- Compute / data centers58
- Broadband %93
- Tertiary degree %52
- Digital skills70
- Startup ecosystem60
- Agent adoption46
- Patents / 100k34
Nearest peers
- Lyon45.5
- Toulouse45.7
- Wellington45.2
- Hamburg46.1
- Suzhou45.1
Metro report · generated from Madison's indicators
Madison — metro standing in full
Madison is the #134 metro by economic size ($55bn) in the panel and ranks #148/162 on absolute Metro Power and #78/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 45.6 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Madison sits at MCC 45.6.
Economic & scale context curated v1 estimate
GDP (metro)
$55bn
#134 of 162
GDP / capita
$81k
Population
0.7M
AI investment
$1.1bn
#123 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 Madison's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Madison sits |
|---|---|---|---|
| MPI Metro Power | 23.8 | Lagging · #148/162 | 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 | 45.6 | Moderate · #78/162 | 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 | 43.4 | Moderate · #75/162 | 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 | 48.3 | Moderate · #54/162 | 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 | 28.7 | Moderate · #104/162 | 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 | 41.9 | Moderate · #77/162 | 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 | 65.8 | Moderate · #85/162 | 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 | 43.4 | Moderate · #75/162 | 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
- 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.