CognitiveAristocracy
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Overview / Regions / Guangzhou

Guangzhou

Asia-Pacific Power #13/162Per-capita #44National view: China →
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

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 / pillarValueStandingWhat a high vs low value means — and where Guangzhou sits
MPI Metro Power69.4Leading · #13/162High 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 Coefficient53.0Strong · #44/162High 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 Agentic50.3Strong · #38/162High 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 Talent47.4Moderate · #60/162Mid-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 Capital47.0Strong · #25/162High 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 Research49.5Strong · #48/162High 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 Infrastructure70.7Moderate · #57/162Mid-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 Agentic50.3Strong · #38/162High 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.