Maryland
South
State Power #15/51Per-capita #10
State Power
56.5
of 100 · #15
SPI
56.5
SCC
65.7
SDI
70.7
Pillar profile
Talent64.8
Capital47.7
Research62.4
Infrastructure82.7
Agentic70.7
Nearest peers (per-capita)
- Texas65.9
- Illinois64.1
- New Jersey68.5
- Utah62.9
- Colorado68.6
Report · generated from Maryland's indicators
Maryland — standing in full
Maryland is the #17 state by economic size ($480bn GSP) and ranks #15/51 on absolute State Power and #10/51 on per-capita intensity. Its strongest pillar is Talent (64.8, Strong); no single pillar is a binding weakness.
Economic & scale context
GDP
$480bn
#17 of 51
GDP / capita
$78k
Population
6.2M
AI investment
$7.0bn
#14 of 51
Notable AI orgs
50
Index & pillar read
| Index / pillar | Value | Standing | What a high vs low value means — and where Maryland sits |
|---|---|---|---|
| SPI State Power | 56.5 | Strong · #15/51 | 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 | 65.7 | Strong · #10/51 | High here — deep capability per resident — a concentrated, high-intensity AI economy. ▲ 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 | 70.7 | Strong · #8/51 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ 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 | 64.8 | Strong · #8/51 | 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 | 47.7 | Moderate · #16/51 | 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 | 62.4 | Strong · #10/51 | High here — a strong research base feeding a pipeline of ideas and people. ▲ 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 | 82.7 | Strong · #8/51 | High here — the physical and digital rails to run AI at scale are in place. ▲ 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 | 70.7 | Strong · #8/51 | High here — agents are actively deployed — an early-mover productivity edge. ▲ 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 (64.8, Strong) — a deep talent pool — the scarcest input to building AI.
- Infrastructure (82.7, Strong) — the physical and digital rails to run AI at scale are in place.
- Agentic (70.7, Strong) — agents are actively deployed — an early-mover productivity edge.
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.