CognitiveAristocracy
Detail

Nevada

West State Power #26/51Per-capita #28
State Power
37.8
of 100 · #26
SPI
37.8
SCC
38.7
SDI
41.4

Pillar profile

Talent32.9
Capital34.3
Research28.9
Infrastructure56.2
Agentic41.4

Nearest peers (per-capita)

Report · generated from Nevada's indicators

Nevada — standing in full

Nevada is the #32 state by economic size ($210bn GSP) and ranks #26/51 on absolute State Power and #28/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research.

Economic & scale context

GDP
$210bn
#32 of 51
GDP / capita
$66k
Population
3.2M
AI investment
$3.0bn
#26 of 51
Notable AI orgs
14

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means — and where Nevada sits
SPI State Power37.8Moderate · #26/51Mid-pack. High would mean a heavyweight that anchors national AI capacity and pulls in capital and talent; low would mean 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 Coefficient38.7Moderate · #28/51Mid-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 Agentic41.4Moderate · #28/51Mid-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 Talent32.9Moderate · #32/51Mid-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 Capital34.3Moderate · #24/51Mid-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 Research28.9Developing · #36/51Low 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 Infrastructure56.2Moderate · #25/51Mid-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 Agentic41.4Moderate · #28/51Mid-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

  • Binding weakness — Research 28.9 (#36/51, Developing): a weak research base — fewer home-grown breakthroughs and spinouts.
State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.