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Overview / Rankings / US States / Rhode Island

Rhode Island

Northeast State Power #43/51Per-capita #27
State Power
20.5
of 100 · #43
SPI
20.5
SCC
40.9
SDI
42.3

Pillar profile

Talent36.5
Capital25.9
Research45.0
Infrastructure54.7
Agentic42.3

Nearest peers (per-capita)

Report · generated from Rhode Island's indicators

Rhode Island, standing in full

Rhode Island is the #45 state by economic size ($70bn GSP) and ranks #43/51 on absolute State Power and #27/51 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness.

Economic & scale context

GDP
$70bn
#45 of 51
GDP / capita
$64k
Population
1.1M
AI investment
$1.0bn
#42 of 51
Notable AI orgs
12

Index & pillar read

Index / pillarValueStandingWhat a high vs low value means, and where Rhode Island sits
SPI State Power20.5Developing · #43/51Low 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 Coefficient40.9Moderate · #27/51Mid-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 Agentic42.3Moderate · #27/51Mid-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 Talent36.5Moderate · #26/51Mid-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 Capital25.9Moderate · #31/51Mid-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 Research45.0Moderate · #24/51Mid-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 Infrastructure54.7Moderate · #24/51Mid-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 Agentic42.3Moderate · #27/51Mid-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

  • 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.