Gothenburg
Metro Power
35.8
of 100 · #115
MPI
35.8
MCC
48.3
MDI
46.3
Pillar profile
Talent48.3
Capital31.8
Research44.2
Infrastructure70.9
Agentic46.3
Indicators
- Population (m)1.7
- GDP ($bn)95.7
- GDP per capita ($k)55.0
- AI investment ($bn)1.4
- Tech employment %8.6
- AI talent61
- Research strength70
- Notable AI orgs20
- Compute / data centers58
- Broadband %97
- Tertiary degree %48
- Digital skills76
- Startup ecosystem63
- Agent adoption48
- Patents / 100k42
Nearest peers
- Nanjing48.3
- Oslo48.2
- Bristol48.4
- Manchester48.5
- Detroit48.7
Metro report · generated from Gothenburg's indicators
Gothenburg — metro standing in full
Gothenburg is the #115 metro by economic size ($96bn) in the panel and ranks #115/162 on absolute Metro Power and #62/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the Sweden national average (MCC 48.3 vs CC 67.2).
National context: Sweden scores CC 67.2 per-capita; Gothenburg sits at MCC 48.3.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$96bn
#115 of 162
GDP / capita
$55k
Population
1.7M
AI investment
$1.4bn
#114 of 162
Notable AI orgs
20
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Gothenburg's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Gothenburg sits |
|---|---|---|---|
| MPI Metro Power | 35.8 | Developing · #115/162 | Low here — 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 | 48.3 | Moderate · #62/162 | Mid-pack. High would mean deep capability per resident — a concentrated, high-intensity ecosystem; low would mean thin intensity per resident — capability is sparse relative to the population. ▲ 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 | 46.3 | Moderate · #60/162 | 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 | 48.3 | Moderate · #55/162 | 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 | 31.8 | Moderate · #83/162 | 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 | 44.2 | Moderate · #69/162 | 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 | 70.9 | Moderate · #56/162 | 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 | 46.3 | Moderate · #60/162 | 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
- 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.