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Overview / Rankings / US States / North Carolina

North Carolina

South State Power #12/51Per-capita #16
State Power
63.3
of 100 · #12
SPI
63.3
SCC
58.1
SDI
61.6

Pillar profile

Talent50.9
Capital51.4
Research57.7
Infrastructure68.8
Agentic61.6

Nearest peers (per-capita)

Report · generated from North Carolina's indicators

North Carolina, standing in full

North Carolina is the #11 state by economic size ($730bn GSP) and ranks #12/51 on absolute State Power and #16/51 on per-capita intensity. Its strongest pillar is Research (57.7, Strong); no single pillar is a binding weakness.

Economic & scale context

GDP
$730bn
#11 of 51
GDP / capita
$68k
Population
10.7M
AI investment
$10.0bn
#12 of 51
Notable AI orgs
50

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means, and where North Carolina sits
SPI State Power63.3Strong · #12/51High 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 Coefficient58.1Moderate · #16/51Mid-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 Agentic61.6Strong · #15/51High 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 Talent50.9Moderate · #18/51Mid-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 Capital51.4Strong · #15/51High 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 Research57.7Strong · #14/51High 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 Infrastructure68.8Moderate · #17/51Mid-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 Agentic61.6Strong · #15/51High 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 (57.7, Strong), a strong research base feeding a pipeline of ideas and people.
  • Capital (51.4, Strong), abundant capital flowing into building cognitive infrastructure.
  • Agentic (61.6, Strong), agents are actively deployed, an early-mover productivity edge.

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.