New Hampshire
Northeast
State Power #39/51Per-capita #25
State Power
25.0
of 100 · #39
SPI
25.0
SCC
43.1
SDI
47.4
Pillar profile
Talent47.9
Capital27.4
Research39.9
Infrastructure53.1
Agentic47.4
Nearest peers (per-capita)
- Missouri43.7
- Delaware42.3
- Wisconsin44.2
- Rhode Island40.9
- Nevada40.2
Report · generated from New Hampshire's indicators
New Hampshire, standing in full
New Hampshire is the #40 state by economic size ($100bn GSP) and ranks #39/51 on absolute State Power and #25/51 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness.
Economic & scale context
GDP
$100bn
#40 of 51
GDP / capita
$71k
Population
1.4M
AI investment
$1.5bn
#35 of 51
Notable AI orgs
10
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means, and where New Hampshire sits |
|---|---|---|---|
| SPI State Power | 25.0 | Developing · #39/51 | Low here, limited absolute weight, a smaller node leaning on capacity built in larger states. ▲ high: a heavyweight that anchors national AI capacity and pulls in capital and talent · ▼ low: limited absolute weight, a smaller node leaning on capacity built in larger states |
| SCC State Coefficient | 43.1 | Moderate · #25/51 | Mid-pack. High would mean deep capability per resident, a concentrated, high-intensity AI economy; low would mean thin intensity per resident, capability is sparse relative to population. ▲ high: deep capability per resident, a concentrated, high-intensity AI economy · ▼ low: thin intensity per resident, capability is sparse relative to population |
| SDI State Agentic | 47.4 | Moderate · #25/51 | 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 | 47.9 | Moderate · #20/51 | 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 | 27.4 | Moderate · #29/51 | 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 | 39.9 | Moderate · #26/51 | 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 | 53.1 | Moderate · #27/51 | 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 | 47.4 | Moderate · #25/51 | 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 state pillars.
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State values are curated v1 estimates on a consistent scale, not yet measured sub-national data.