Arizona
West
State Power #17/51Per-capita #20
State Power
54.3
of 100 · #17
SPI
54.3
SCC
52.3
SDI
54.0
Pillar profile
Talent47.6
Capital44.0
Research46.1
Infrastructure69.6
Agentic54.0
Nearest peers (per-capita)
- Florida52.7
- Ohio49.5
- Connecticut55.2
- Minnesota55.2
- Michigan49.0
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 #20/51 on per-capita intensity. Its strongest pillar is Infrastructure (69.6, Strong); 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
#18 of 51
Notable AI orgs
30
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Arizona sits |
|---|---|---|---|
| SPI State Power | 54.3 | Moderate · #17/51 | Mid-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 Coefficient | 52.3 | Moderate · #20/51 | Mid-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 Agentic | 54.0 | Moderate · #20/51 | Mid-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 Talent | 47.6 | Moderate · #20/51 | Mid-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 Capital | 44.0 | Moderate · #17/51 | Mid-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 Research | 46.1 | Moderate · #23/51 | Mid-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 Infrastructure | 69.6 | Strong · #14/51 | High here — the physical and digital rails to run AI at scale are in place. ▲ 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 Agentic | 54.0 | Moderate · #20/51 | Mid-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
- Infrastructure (69.6, Strong) — the physical and digital rails to run AI at scale are in place.
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.