CognitiveAristocracy
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Overview / Rankings / US States / New Hampshire

New Hampshire

Northeast State Power #38/51Per-capita #24
State Power
25.2
of 100 · #38
SPI
25.2
SCC
43.9
SDI
47.4

Pillar profile

Talent49.4
Capital26.3
Research39.9
Infrastructure56.7
Agentic47.4

Nearest peers (per-capita)

Report · generated from New Hampshire's indicators

New Hampshire — standing in full

New Hampshire is the #41 state by economic size ($100bn GSP) and ranks #38/51 on absolute State Power and #24/51 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness.

Economic & scale context

GDP
$100bn
#41 of 51
GDP / capita
$71k
Population
1.4M
AI investment
$1.2bn
#35 of 51
Notable AI orgs
10

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means — and where New Hampshire sits
SPI State Power25.2Developing · #38/51Low 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 Coefficient43.9Moderate · #24/51Mid-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 Agentic47.4Moderate · #25/51Mid-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 Talent49.4Moderate · #18/51Mid-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 Capital26.3Moderate · #29/51Mid-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 Research39.9Moderate · #26/51Mid-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 Infrastructure56.7Moderate · #24/51Mid-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 Agentic47.4Moderate · #25/51Mid-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.
State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.