Nebraska
Midwest
State Power #36/51Per-capita #31
State Power
28.5
of 100 · #36
SPI
28.5
SCC
34.9
SDI
37.9
Pillar profile
Talent33.6
Capital23.8
Research30.1
Infrastructure48.9
Agentic37.9
Report · generated from Nebraska's indicators
Nebraska — standing in full
Nebraska is the #36 state by economic size ($165bn GSP) and ranks #36/51 on absolute State Power and #31/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is research.
Economic & scale context
GDP
$165bn
#36 of 51
GDP / capita
$84k
Population
2.0M
AI investment
$1.6bn
#28 of 51
Notable AI orgs
8
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Nebraska sits |
|---|---|---|---|
| SPI State Power | 28.5 | Developing · #36/51 | 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 | 34.9 | Moderate · #31/51 | 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 | 37.9 | Moderate · #31/51 | 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 | 33.6 | Moderate · #31/51 | 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 | 23.8 | Moderate · #32/51 | 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 | 30.1 | Developing · #34/51 | Low 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 Infrastructure | 48.9 | Moderate · #29/51 | Mid-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 Agentic | 37.9 | Moderate · #31/51 | 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
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Research 30.1 (#34/51, 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.