Krakow
Metro Power
30.9
of 100 · #132
MPI
30.9
MCC
42.0
MDI
39.2
Pillar profile
Talent46.2
Capital27.6
Research36.9
Infrastructure60.2
Agentic39.2
Indicators
- Population (m)1.5
- GDP ($bn)31.0
- GDP per capita ($k)20.1
- AI investment ($bn)0.9
- Tech employment %9.5
- AI talent58
- Research strength62
- Notable AI orgs18
- Compute / data centers54
- Broadband %90
- Tertiary degree %45
- Digital skills66
- Startup ecosystem60
- Agent adoption40
- Patents / 100k12
Nearest peers
Metro report · generated from Krakow's indicators
Krakow — metro standing in full
Krakow is the #151 metro by economic size ($31bn) in the panel and ranks #132/162 on absolute Metro Power and #99/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the Poland national average (MCC 42.0 vs CC 50.0).
National context: Poland scores CC 50.0 per-capita; Krakow sits at MCC 42.0.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$31bn
#151 of 162
GDP / capita
$20k
Population
1.5M
AI investment
$0.9bn
#134 of 162
Notable AI orgs
18
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Krakow's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Krakow sits |
|---|---|---|---|
| MPI Metro Power | 30.9 | Developing · #132/162 | 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 | 42.0 | Moderate · #99/162 | 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 | 39.2 | Moderate · #98/162 | 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 | 46.2 | Moderate · #65/162 | 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 | 27.6 | Developing · #113/162 | Low here — 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 | 36.9 | Moderate · #94/162 | 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 | 60.2 | Developing · #110/162 | Low here — 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 | 39.2 | Moderate · #98/162 | 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
- Binding weakness — Capital 27.6 (#113/162, Developing): thin investment — good ideas struggle to scale locally.
▲
Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.