Raleigh-Durham
Metro Power
42.5
of 100 · #87
MPI
42.5
MCC
60.0
MDI
58.3
Pillar profile
Talent60.4
Capital45.2
Research60.4
Infrastructure75.9
Agentic58.3
Indicators
- Population (m)1.5
- GDP ($bn)170
- GDP per capita ($k)114.9
- AI investment ($bn)6
- Tech employment %17
- AI talent68
- Research strength85
- Notable AI orgs18
- Compute / data centers64
- Broadband %94
- Tertiary degree %48
- Digital skills84
- Startup ecosystem66
- Agent adoption60
- Patents / 100k175
Nearest peers
- Cambridge UK60.0
- Paris59.8
- Chicago60.3
- Montreal59.3
- Hangzhou60.9
Metro report · generated from Raleigh-Durham's indicators
Raleigh-Durham, metro standing in full
Raleigh-Durham is the #76 metro by economic size ($170bn) in the panel and ranks #87/162 on absolute Metro Power and #20/162 on per-capita intensity. Its strongest pillar is Talent (60.4, Strong); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 60.0 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Raleigh-Durham sits at MCC 60.0.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$170bn
#76 of 162
GDP / capita
$115k
Population
1.5M
AI investment
$6.0bn
#32 of 162
Notable AI orgs
18
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Raleigh-Durham's own standing.
| Index / pillar | Value | Standing | What a high vs low value means, and where Raleigh-Durham sits |
|---|---|---|---|
| MPI Metro Power | 42.5 | Moderate · #87/162 | 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 | 60.0 | Strong · #20/162 | 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 | 58.3 | Strong · #19/162 | 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 | 60.4 | Strong · #18/162 | High here, a deep talent pool, the scarcest input to building AI. ▲ 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 · #29/162 | 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 | 60.4 | Strong · #23/162 | High here, a strong research base feeding a pipeline of ideas and people. ▲ 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 | 75.9 | Strong · #31/162 | 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 | 58.3 | Strong · #19/162 | 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
- Talent (60.4, Strong), a deep talent pool, the scarcest input to building AI.
- Agentic (58.3, Strong), agents are actively deployed, an early-mover productivity edge.
- Research (60.4, Strong), a strong research base feeding a pipeline of ideas and people.
Risk factors
- Depth without scale, high per-capita intensity (MCC #20) but limited absolute weight (MPI #87): dense per resident, but small in total.
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Metro values are curated estimates (v1) on a consistent global scale, not yet measured sub-national data.