New Mexico
West
State Power #35/51Per-capita #35
State Power
28.8
of 100 · #35
SPI
28.8
SCC
31.0
SDI
33.4
Pillar profile
Talent30.2
Capital22.2
Research39.8
Infrastructure29.3
Agentic33.4
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 #35/51 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
$1.5bn
#30 of 51
Notable AI orgs
12
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where New Mexico sits |
|---|---|---|---|
| SPI State Power | 28.8 | Developing · #35/51 | Low 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 Coefficient | 31.0 | Developing · #35/51 | Low 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 Agentic | 33.4 | Developing · #35/51 | Low 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 Talent | 30.2 | Developing · #35/51 | Low 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 Capital | 22.2 | Moderate · #33/51 | 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 | 39.8 | Moderate · #27/51 | 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 | 29.3 | Developing · #40/51 | Low 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 Agentic | 33.4 | Developing · #35/51 | Low 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 29.3 (#40/51, Developing): infrastructure gaps cap how much AI can actually be run locally.
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State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.