Delhi
Metro Power
69.5
of 100 · #11
MPI
69.5
MCC
42.3
MDI
40.6
Pillar profile
Talent39.2
Capital41.4
Research40.4
Infrastructure49.8
Agentic40.6
Indicators
- Population (m)32
- GDP ($bn)370
- GDP per capita ($k)12
- AI investment ($bn)3.5
- Tech employment %7
- AI talent58
- Research strength60
- Notable AI orgs30
- Compute / data centers66
- Broadband %70
- Tertiary degree %35
- Digital skills56
- Startup ecosystem68
- Agent adoption42
- Patents / 100k20
Nearest peers
Metro report · generated from Delhi's indicators
Delhi — metro standing in full
Delhi is the #29 metro by economic size ($370bn) in the panel and ranks #11/162 on absolute Metro Power and #96/162 on per-capita intensity. Its strongest pillar is Capital (41.4, Strong); the binding concern is infrastructure. Locally it runs above the India national average (MCC 42.3 vs CC 41.0).
National context: India scores CC 41.0 per-capita; Delhi sits at MCC 42.3.
Economic & scale context curated v1 estimate
GDP (metro)
$370bn
#29 of 162
GDP / capita
$12k
Population
32.0M
AI investment
$3.5bn
#61 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 Delhi's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Delhi sits |
|---|---|---|---|
| MPI Metro Power | 69.5 | Leading · #11/162 | High here — a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem. ▲ 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 | 42.3 | Moderate · #96/162 | 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 · #91/162 | 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 | 39.2 | Moderate · #102/162 | 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 | 41.4 | Strong · #44/162 | 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 | 40.4 | Moderate · #85/162 | 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 | 49.8 | Developing · #128/162 | 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 | 40.6 | Moderate · #91/162 | 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
- Capital (41.4, Strong) — abundant capital flowing into building cognitive infrastructure.
Risk factors
- Scale without depth — a heavyweight by absolute Metro Power (#11) but thinner per-capita intensity (MCC #96): big in total, less dense per resident.
- Binding weakness — Infrastructure 49.8 (#128/162, Developing): infrastructure gaps cap how much AI can actually be run locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.