Guangzhou
Metro Power
69.4
of 100 · #13
MPI
69.4
MCC
53.0
MDI
50.3
Pillar profile
Talent47.4
Capital47.0
Research49.5
Infrastructure70.7
Agentic50.3
Indicators
- Population (m)18.7
- GDP ($bn)460
- GDP per capita ($k)25
- AI investment ($bn)6.5
- Tech employment %8.5
- AI talent66
- Research strength68
- Notable AI orgs35
- Compute / data centers74
- Broadband %88
- Tertiary degree %40
- Digital skills70
- Startup ecosystem68
- Agent adoption50
- Patents / 100k70
Nearest peers
- Lausanne53.1
- Gurugram-NCR53.1
- Copenhagen52.7
- Minneapolis52.6
- Hong Kong52.6
Metro report · generated from Guangzhou's indicators
Guangzhou — metro standing in full
Guangzhou is the #23 metro by economic size ($460bn) in the panel and ranks #13/162 on absolute Metro Power and #44/162 on per-capita intensity. Its strongest pillar is Capital (47.0, Strong); no single pillar is a binding weakness. Locally it runs below the China national average (MCC 53.0 vs CC 69.9).
National context: China scores CC 69.9 per-capita; Guangzhou sits at MCC 53.0.
Economic & scale context curated v1 estimate
GDP (metro)
$460bn
#23 of 162
GDP / capita
$25k
Population
18.7M
AI investment
$6.5bn
#31 of 162
Notable AI orgs
35
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Guangzhou's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Guangzhou sits |
|---|---|---|---|
| MPI Metro Power | 69.4 | Leading · #13/162 | 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 | 53.0 | Strong · #44/162 | High here — deep capability per resident — a concentrated, high-intensity ecosystem. ▲ 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 | 50.3 | Strong · #38/162 | High here — agents are widely deployed locally — a near-term productivity multiplier. ▲ 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 | 47.4 | Moderate · #60/162 | 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 | 47.0 | Strong · #25/162 | 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 | 49.5 | Strong · #48/162 | High here — a strong research base feeding a pipeline of ideas and people. ▲ 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 | 70.7 | Moderate · #57/162 | 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 | 50.3 | Strong · #38/162 | High here — agents are actively deployed — an early-mover productivity edge. ▲ 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 (47.0, Strong) — abundant capital flowing into building cognitive infrastructure.
- Agentic (50.3, Strong) — agents are actively deployed — an early-mover productivity edge.
- Research (49.5, Strong) — a strong research base feeding a pipeline of ideas and people.
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.