Connecticut
Northeast
State Power #25/51Per-capita #17
State Power
44.3
of 100 · #25
SPI
44.3
SCC
55.2
SDI
59.6
Pillar profile
Talent54.8
Capital40.1
Research53.8
Infrastructure67.8
Agentic59.6
Nearest peers (per-capita)
- Minnesota55.2
- Georgia55.6
- North Carolina56.9
- Florida52.7
- Arizona52.3
Report · generated from Connecticut's indicators
Connecticut — standing in full
Connecticut is the #23 state by economic size ($320bn GSP) and ranks #25/51 on absolute State Power and #17/51 on per-capita intensity. Its strongest pillar is Talent (54.8, Strong); no single pillar is a binding weakness.
Economic & scale context
GDP
$320bn
#23 of 51
GDP / capita
$88k
Population
3.6M
AI investment
$4.5bn
#21 of 51
Notable AI orgs
22
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Connecticut sits |
|---|---|---|---|
| SPI State Power | 44.3 | Moderate · #25/51 | Mid-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 Coefficient | 55.2 | Moderate · #17/51 | 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 | 59.6 | Moderate · #16/51 | 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 | 54.8 | Strong · #14/51 | High 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 Capital | 40.1 | Moderate · #22/51 | 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 | 53.8 | Moderate · #17/51 | 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 | 67.8 | Moderate · #16/51 | 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 | 59.6 | Moderate · #16/51 | 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
- Talent (54.8, Strong) — a deep talent pool — the scarcest input to building AI.
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.