CognitiveAristocracy
Detail

Alaska

West State Power #50/51Per-capita #47
State Power
9.4
of 100 · #50
SPI
9.4
SCC
14.9
SDI
17.2

Pillar profile

Talent19.3
Capital9.2
Research15.0
Infrastructure13.9
Agentic17.2

Nearest peers (per-capita)

Report · generated from Alaska's indicators

Alaska — standing in full

Alaska is the #48 state by economic size ($65bn GSP) and ranks #50/51 on absolute State Power and #47/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is infrastructure.

Economic & scale context

GDP
$65bn
#48 of 51
GDP / capita
$89k
Population
0.7M
AI investment
$0.3bn
#49 of 51
Notable AI orgs
4

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means — and where Alaska sits
SPI State Power9.4Lagging · #50/51Low 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 Coefficient14.9Lagging · #47/51Low 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 Agentic17.2Developing · #44/51Low 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 Talent19.3Developing · #43/51Low here — 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 Capital9.2Lagging · #49/51Low 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 Research15.0Lagging · #47/51Low here — 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 Infrastructure13.9Lagging · #49/51Low 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 Agentic17.2Developing · #44/51Low 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 — Infrastructure 13.9 (#49/51, Lagging): infrastructure gaps cap how much AI can actually be run locally.
State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.