Prague
Metro Power
38.2
of 100 · #104
MPI
38.2
MCC
43.1
MDI
40.6
Pillar profile
Talent44.2
Capital28.7
Research38.3
Infrastructure63.7
Agentic40.6
Indicators
- Population (m)2.7
- GDP ($bn)101.0
- GDP per capita ($k)38.0
- AI investment ($bn)1.1
- Tech employment %8
- AI talent58
- Research strength64
- Notable AI orgs18
- Compute / data centers58
- Broadband %91
- Tertiary degree %44
- Digital skills68
- Startup ecosystem60
- Agent adoption42
- Patents / 100k16
Nearest peers
Metro report · generated from Prague's indicators
Prague — metro standing in full
Prague is the #113 metro by economic size ($101bn) in the panel and ranks #104/162 on absolute Metro Power and #93/162 on per-capita intensity. No pillar stands out as a clear strength; no single pillar is a binding weakness. Locally it runs below the Czechia national average (MCC 43.1 vs CC 52.5).
National context: Czechia scores CC 52.5 per-capita; Prague sits at MCC 43.1.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$101bn
#113 of 162
GDP / capita
$38k
Population
2.7M
AI investment
$1.1bn
#124 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 Prague's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Prague sits |
|---|---|---|---|
| MPI Metro Power | 38.2 | Moderate · #104/162 | 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 | 43.1 | Moderate · #93/162 | 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 | 40.6 | Moderate · #92/162 | 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 | 44.2 | Moderate · #79/162 | 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 | 28.7 | Moderate · #105/162 | 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 | 38.3 | Moderate · #91/162 | 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 | 63.7 | Moderate · #96/162 | 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 | 40.6 | Moderate · #92/162 | 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.