CognitiveAristocracy
Detail

Vermont

Northeast State Power #49/51Per-capita #36
State Power
11.0
of 100 · #49
SPI
11.0
SCC
30.8
SDI
33.3

Pillar profile

Talent35.0
Capital16.7
Research30.8
Infrastructure38.2
Agentic33.3

Nearest peers (per-capita)

Report · generated from Vermont's indicators

Vermont — standing in full

Vermont is the #51 state by economic size ($40bn GSP) and ranks #49/51 on absolute State Power and #36/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital.

Economic & scale context

GDP
$40bn
#51 of 51
GDP / capita
$62k
Population
0.7M
AI investment
$0.4bn
#48 of 51
Notable AI orgs
7

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means — and where Vermont sits
SPI State Power11.0Lagging · #49/51Low 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 Coefficient30.8Developing · #36/51Low here — 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 Agentic33.3Developing · #36/51Low 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 Talent35.0Moderate · #28/51Mid-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 Capital16.7Developing · #38/51Low 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 Research30.8Moderate · #33/51Mid-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 Infrastructure38.2Developing · #34/51Low 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 Agentic33.3Developing · #36/51Low 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 — Capital 16.7 (#38/51, Developing): thin investment — good ideas struggle to scale locally.
State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.