Stockholm
Metro Power
46.9
of 100 · #72
MPI
46.9
MCC
55.7
MDI
50.3
Pillar profile
Talent51.6
Capital46.8
Research52.2
Infrastructure77.6
Agentic50.3
Indicators
- Population (m)2.4
- GDP ($bn)185.0
- GDP per capita ($k)76.4
- AI investment ($bn)5
- Tech employment %9.5
- AI talent62
- Research strength76
- Notable AI orgs30
- Compute / data centers64
- Broadband %97
- Tertiary degree %52
- Digital skills84
- Startup ecosystem72
- Agent adoption53
- Patents / 100k62
Nearest peers
- Bangalore55.7
- Taipei56.1
- Dallas55.1
- Amsterdam56.4
- Philadelphia54.8
Metro report · generated from Stockholm's indicators
Stockholm — metro standing in full
Stockholm is the #65 metro by economic size ($185bn) in the panel and ranks #72/162 on absolute Metro Power and #32/162 on per-capita intensity. Its strongest pillar is Infrastructure (77.6, Strong); no single pillar is a binding weakness. Locally it runs below the Sweden national average (MCC 55.7 vs CC 67.2).
National context: Sweden scores CC 67.2 per-capita; Stockholm sits at MCC 55.7.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$185bn
#65 of 162
GDP / capita
$76k
Population
2.4M
AI investment
$5.0bn
#42 of 162
Notable AI orgs
30
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Stockholm's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Stockholm sits |
|---|---|---|---|
| MPI Metro Power | 46.9 | Moderate · #72/162 | Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean limited absolute weight — a smaller node that leans on capacity built in larger hubs. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight — a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 55.7 | Strong · #32/162 | High here — deep capability per resident — a concentrated, high-intensity ecosystem. ▲ high: deep capability per resident — a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident — capability is sparse relative to the population |
| MDI Metro Agentic | 50.3 | Strong · #37/162 | 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 | 51.6 | Strong · #38/162 | 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 | 46.8 | Strong · #27/162 | 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 | 52.2 | Strong · #34/162 | 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 | 77.6 | Strong · #24/162 | 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 | 50.3 | Strong · #37/162 | 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
- Infrastructure (77.6, Strong) — the physical and digital rails to run AI at scale are in place.
- Capital (46.8, Strong) — abundant capital flowing into building cognitive infrastructure.
- Research (52.2, Strong) — a strong research base feeding a pipeline of ideas and people.
Risk factors
- No acute structural gaps stand out across the metro pillars.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.