Hong Kong
Asia-Pacific
Power #34/162Per-capita #47
Metro Power
57.7
of 100 · #34
MPI
57.7
MCC
52.6
MDI
48.2
Pillar profile
Talent44.7
Capital40.4
Research51.0
Infrastructure78.5
Agentic48.2
Indicators
- Population (m)7.5
- GDP ($bn)380
- GDP per capita ($k)51
- AI investment ($bn)4.5
- Tech employment %8
- AI talent62
- Research strength74
- Notable AI orgs28
- Compute / data centers76
- Broadband %95
- Tertiary degree %40
- Digital skills76
- Startup ecosystem62
- Agent adoption50
- Patents / 100k70
Nearest peers
- Minneapolis52.6
- Copenhagen52.7
- Vancouver52.5
- Guangzhou53.0
- Lausanne53.1
Metro report · generated from Hong Kong's indicators
Hong Kong — metro standing in full
Hong Kong is the #28 metro by economic size ($380bn) in the panel and ranks #34/162 on absolute Metro Power and #47/162 on per-capita intensity. Its strongest pillar is Infrastructure (78.5, Strong); no single pillar is a binding weakness.
Economic & scale context curated v1 estimate
GDP (metro)
$380bn
#28 of 162
GDP / capita
$51k
Population
7.5M
AI investment
$4.5bn
#47 of 162
Notable AI orgs
28
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Hong Kong's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Hong Kong sits |
|---|---|---|---|
| MPI Metro Power | 57.7 | Strong · #34/162 | 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 | 52.6 | Strong · #47/162 | 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 | 48.2 | Strong · #45/162 | 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 | 44.7 | Moderate · #76/162 | 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 | 40.4 | Strong · #48/162 | 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 | 51.0 | Strong · #40/162 | 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 | 78.5 | Strong · #22/162 | High here — the physical and digital rails to run AI at scale are in place. ▲ 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 | 48.2 | Strong · #45/162 | 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
- Infrastructure (78.5, Strong) — the physical and digital rails to run AI at scale are in place.
- Research (51.0, Strong) — a strong research base feeding a pipeline of ideas and people.
- Agentic (48.2, Strong) — agents are actively deployed — an early-mover productivity edge.
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.