Ankara
Metro Power
39.3
of 100 · #98
MPI
39.3
MCC
31.9
MDI
28.8
Pillar profile
Talent34.6
Capital18.9
Research27.1
Infrastructure50.2
Agentic28.8
Indicators
- Population (m)5.7
- GDP ($bn)95
- GDP per capita ($k)17
- AI investment ($bn)0.9
- Tech employment %5
- AI talent46
- Research strength52
- Notable AI orgs11
- Compute / data centers48
- Broadband %86
- Tertiary degree %44
- Digital skills56
- Startup ecosystem44
- Agent adoption34
- Patents / 100k9
Nearest peers
- Jakarta32.1
- San Antonio31.6
- Manama31.6
- Bangkok31.5
- Jeddah30.9
Metro report · generated from Ankara's indicators
Ankara — metro standing in full
Ankara is the #118 metro by economic size ($95bn) in the panel and ranks #98/162 on absolute Metro Power and #130/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the Turkey national average (MCC 31.9 vs CC 42.4).
National context: Turkey scores CC 42.4 per-capita; Ankara sits at MCC 31.9.
Economic & scale context curated v1 estimate
GDP (metro)
$95bn
#118 of 162
GDP / capita
$17k
Population
5.7M
AI investment
$0.9bn
#136 of 162
Notable AI orgs
11
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Ankara's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Ankara sits |
|---|---|---|---|
| MPI Metro Power | 39.3 | Moderate · #98/162 | 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 | 31.9 | Developing · #130/162 | Low here — 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 | 28.8 | Developing · #132/162 | Low here — 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 | 34.6 | Developing · #115/162 | Low here — 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 | 18.9 | Lagging · #144/162 | 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 | 27.1 | Developing · #128/162 | Low here — 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 | 50.2 | Developing · #127/162 | 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 | 28.8 | Developing · #132/162 | Low here — 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 18.9 (#144/162, Lagging): thin investment — good ideas struggle to scale locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.