Georgia
South
State Power #11/51Per-capita #16
State Power
63.0
of 100 · #11
SPI
63.0
SCC
55.6
SDI
59.6
Pillar profile
Talent47.8
Capital51.4
Research51.5
Infrastructure67.7
Agentic59.6
Nearest peers (per-capita)
- Connecticut55.2
- Minnesota55.2
- North Carolina56.9
- Florida52.7
- Oregon58.7
Report · generated from Georgia's indicators
Georgia — standing in full
Georgia is the #9 state by economic size ($770bn GSP) and ranks #11/51 on absolute State Power and #16/51 on per-capita intensity. Its strongest pillar is Capital (51.4, Strong); no single pillar is a binding weakness.
Economic & scale context
GDP
$770bn
#9 of 51
GDP / capita
$71k
Population
10.9M
AI investment
$9.0bn
#12 of 51
Notable AI orgs
55
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Georgia sits |
|---|---|---|---|
| SPI State Power | 63.0 | Strong · #11/51 | High 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 Coefficient | 55.6 | Moderate · #16/51 | 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 · #17/51 | 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 | 47.8 | Moderate · #19/51 | Mid-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 Capital | 51.4 | Strong · #14/51 | High 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 Research | 51.5 | Moderate · #20/51 | 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 | 67.7 | Moderate · #17/51 | 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 · #17/51 | 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
- Capital (51.4, 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.