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Overview / Rankings / US States / New Mexico

New Mexico

West State Power #35/51Per-capita #34
State Power
30.5
of 100 · #35
SPI
30.5
SCC
33.5
SDI
33.4

Pillar profile

Talent33.0
Capital23.6
Research39.8
Infrastructure37.8
Agentic33.4

Nearest peers (per-capita)

Report · generated from New Mexico's indicators

New Mexico, standing in full

New Mexico is the #38 state by economic size ($120bn GSP) and ranks #35/51 on absolute State Power and #34/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is infrastructure.

Economic & scale context

GDP
$120bn
#38 of 51
GDP / capita
$57k
Population
2.1M
AI investment
$1.9bn
#31 of 51
Notable AI orgs
12

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means, and where New Mexico sits
SPI State Power30.5Developing · #35/51Low 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 Coefficient33.5Developing · #34/51Low 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 Agentic33.4Developing · #35/51Low 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 Talent33.0Moderate · #33/51Mid-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 Capital23.6Moderate · #33/51Mid-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 Research39.8Moderate · #27/51Mid-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 Infrastructure37.8Developing · #38/51Low 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 Agentic33.4Developing · #35/51Low 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 37.8 (#38/51, Developing): 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.