Maryland
South
State Power #14/51Per-capita #9
State Power
57.5
of 100 · #14
SPI
57.5
SCC
65.6
SDI
70.7
Pillar profile
Talent63.1
Capital50.0
Research62.4
Infrastructure82.0
Agentic70.7
Nearest peers (per-capita)
- Illinois65.4
- Texas65.4
- Colorado66.7
- Utah63.9
- Pennsylvania62.5
Report · generated from Maryland's indicators
Maryland, standing in full
Maryland is the #17 state by economic size ($480bn GSP) and ranks #14/51 on absolute State Power and #9/51 on per-capita intensity. Its strongest pillar is Talent (63.1, Strong); no single pillar is a binding weakness.
Economic & scale context
GDP
$480bn
#17 of 51
GDP / capita
$78k
Population
6.2M
AI investment
$8.8bn
#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 | 57.5 | Strong · #14/51 | 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 | 65.6 | Strong · #9/51 | 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 | 63.1 | 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 | 50.0 | 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 | 82.0 | 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 (63.1, Strong), a deep talent pool, the scarcest input to building AI.
- Infrastructure (82.0, 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.