CognitiveCoefficient
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Arizona

West State Power #17/51Per-capita #21
State Power
54.3
of 100 · #17
SPI
54.3
SCC
51.4
SDI
54.0

Pillar profile

Talent46.2
Capital43.9
Research46.1
Infrastructure66.9
Agentic54.0

Nearest peers (per-capita)

Report · generated from Arizona's indicators

Arizona, standing in full

Arizona is the #15 state by economic size ($480bn GSP) and ranks #17/51 on absolute State Power and #21/51 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness.

Economic & scale context

GDP
$480bn
#15 of 51
GDP / capita
$65k
Population
7.4M
AI investment
$6.0bn
#20 of 51
Notable AI orgs
30

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means, and where Arizona sits
SPI State Power54.3Moderate · #17/51Mid-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 Coefficient51.4Moderate · #21/51Mid-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 Agentic54.0Moderate · #21/51Mid-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 Talent46.2Moderate · #21/51Mid-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 Capital43.9Moderate · #20/51Mid-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 Research46.1Moderate · #23/51Mid-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 Infrastructure66.9Moderate · #19/51Mid-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 Agentic54.0Moderate · #21/51Mid-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.