CognitiveAristocracy
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Overview / Rankings / US States / New Jersey

New Jersey

Northeast State Power #9/51Per-capita #8
State Power
64.0
of 100 · #9
SPI
64.0
SCC
68.5
SDI
70.7

Pillar profile

Talent64.8
Capital56.1
Research64.8
Infrastructure86.0
Agentic70.7

Nearest peers (per-capita)

Report · generated from New Jersey's indicators

New Jersey — standing in full

New Jersey is the #8 state by economic size ($780bn GSP) and ranks #9/51 on absolute State Power and #8/51 on per-capita intensity. Its strongest pillar is Research (64.8, Leading); no single pillar is a binding weakness.

Economic & scale context

GDP
$780bn
#8 of 51
GDP / capita
$84k
Population
9.3M
AI investment
$14.0bn
#7 of 51
Notable AI orgs
48

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means — and where New Jersey sits
SPI State Power64.0Strong · #9/51High here — a heavyweight that anchors national AI capacity and pulls in capital and talent.
▲ 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 Coefficient68.5Strong · #8/51High here — deep capability per resident — a concentrated, high-intensity AI economy.
▲ high: deep capability per resident — a concentrated, high-intensity AI economy  ·  ▼ low: thin intensity per resident — capability is sparse relative to population
SDI State Agentic70.7Strong · #9/51High here — agents are widely deployed locally — a near-term productivity multiplier.
▲ high: agents are widely deployed locally — a near-term productivity multiplier  ·  ▼ low: agentic deployment is shallow — the local agent lever is under-used
Talent Talent64.8Strong · #9/51High here — a deep talent pool — the scarcest input to building AI.
▲ 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 Capital56.1Strong · #8/51High here — abundant capital flowing into building cognitive infrastructure.
▲ high: abundant capital flowing into building cognitive infrastructure  ·  ▼ low: thin investment — good ideas struggle to scale locally
Research Research64.8Leading · #5/51High here — a strong research base feeding a pipeline of ideas and people.
▲ high: a strong research base feeding a pipeline of ideas and people  ·  ▼ low: a weak research base — fewer home-grown breakthroughs and spinouts
Infrastructure Infrastructure86.0Strong · #7/51High 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 Agentic70.7Strong · #9/51High here — agents are actively deployed — an early-mover productivity edge.
▲ high: agents are actively deployed — an early-mover productivity edge  ·  ▼ low: little agentic deployment — the near-term lever is unused

Strengths to build on

  • Research (64.8, Leading) — a strong research base feeding a pipeline of ideas and people.
  • Infrastructure (86.0, Strong) — the physical and digital rails to run AI at scale are in place.
  • Capital (56.1, Strong) — abundant capital flowing into building cognitive infrastructure.

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.