Tennessee
South
State Power #19/51Per-capita #29
State Power
48.8
of 100 · #19
SPI
48.8
SCC
38.2
SDI
39.4
Pillar profile
Talent31.6
Capital34.5
Research38.3
Infrastructure47.4
Agentic39.4
Report · generated from Tennessee's indicators
Tennessee — standing in full
Tennessee is the #18 state by economic size ($480bn GSP) and ranks #19/51 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
$480bn
#18 of 51
GDP / capita
$68k
Population
7.0M
AI investment
$3.5bn
#23 of 51
Notable AI orgs
25
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Tennessee sits |
|---|---|---|---|
| SPI State Power | 48.8 | Moderate · #19/51 | 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 | 38.2 | Moderate · #29/51 | 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 | 39.4 | Moderate · #30/51 | 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 | 31.6 | Developing · #34/51 | Low 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 Capital | 34.5 | Moderate · #23/51 | 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 | 38.3 | Moderate · #29/51 | 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 | 47.4 | Moderate · #30/51 | 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 | 39.4 | Moderate · #30/51 | 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
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Talent 31.6 (#34/51, Developing): a shallow talent base that constrains how much can be built locally.
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State values are curated v1 estimates on a consistent scale — not yet measured sub-national data.