CognitiveCoefficient
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Indiana

Midwest State Power #23/51Per-capita #29
State Power
46.8
of 100 · #23
SPI
46.8
SCC
38.9
SDI
40.4

Pillar profile

Talent32.1
Capital31.1
Research38.4
Infrastructure52.6
Agentic40.4

Nearest peers (per-capita)

Report · generated from Indiana's indicators

Indiana, standing in full

Indiana is the #19 state by economic size ($460bn GSP) and ranks #23/51 on absolute State Power and #29/51 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is talent.

Economic & scale context

GDP
$460bn
#19 of 51
GDP / capita
$67k
Population
6.8M
AI investment
$3.1bn
#26 of 51
Notable AI orgs
16

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means, and where Indiana sits
SPI State Power46.8Moderate · #23/51Mid-pack. High would mean a heavyweight that anchors national AI capacity and pulls in capital and talent; low would mean 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 Coefficient38.9Moderate · #29/51Mid-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 Agentic40.4Moderate · #29/51Mid-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 Talent32.1Developing · #35/51Low 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 Capital31.1Moderate · #27/51Mid-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 Research38.4Moderate · #28/51Mid-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 Infrastructure52.6Moderate · #28/51Mid-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 Agentic40.4Moderate · #29/51Mid-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, Talent 32.1 (#35/51, Developing): a shallow talent base that constrains how much can be built locally.
State values are curated v1 estimates on a consistent scale, not yet measured sub-national data.