Hong Kong
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.
How this economy meets AI
Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.
Where output comes from (% of GDP)
Where people work (% of employment)
Informal employment
Current automation exposure
Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.
Sources: World Bank WDI; ILOSTAT; Global Automation Atlas (Garg, Crosta & Baier, 2026). The latest available year is shown for each measure; vintages differ, so shares may not sum to 100.
Where Hong Kong starts
Hong Kong enters the AGI era as a high-trust diffuser: rich, skilled and fast to absorb AI. The scores explain the label. Cyber resilience is 5 out of 5, among the world's best today; AI diffusion capacity is 4.3 and language inclusion 4.5. This is a $57,000-per-person economy built on finance, logistics and professional services, with world-class universities and the deep capital markets of the Hong Kong Stock Exchange. What it lacks is control over its own inputs. Geopolitical positioning scores just 1, the lowest, because Hong Kong sits on the US–China fault line and carries real sanctions exposure. Catch-up headroom is 1.5 and demographics 1.7, reflecting an aging, high-income city. Ten-year trend growth is only 1.1% a year, a mature economy near its own ceiling.
The three paths
These are simulations, not forecasts. The Modest path is the baseline; the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. Hong Kong would barely move above its low trend: 1.3% growth a year, 140th of 157. Its head start in adoption would help at the margins but not change the picture. Under Gradual takeoff, growth would build for two decades and reach 8.7% a year once AGI matures around 2045, lifting Hong Kong to 73rd. An economy at that rate doubles in a little over eight years. The long ramp lets its finance and services firms turn deep AI adoption into productivity. Under Fast takeoff, growth would reach 14.8% a year from the early 2030s, a doubling every five years, and rank would climb to 48th, a jump of twenty-five places. The gain comes from diffusion speed and cyber strength paying off early. Regulation and politics could slow or redirect any of these paths. How Hong Kong's people and its key stakeholders respond to transformative AI is a variable the model holds constant.
How you would know which world you are in
The scenarios look almost the same until about 2030, so watch leading indicators, not GDP, and watch them live. Three global signals matter most. First, whether the METR task horizon curve keeps doubling every four to five months through 2027–28; METR publishes it at metr.org. Second, whether frontier lab revenue and capital spending keep compounding; Epoch AI tracks both at epoch.ai. Third, whether growth in the ten to twenty most-ready economies — the United States and China above all — breaks above trend in the early 2030s. Double-digit growth there within a couple of years of 2030 would signal a fast world; a point or two above trend by the mid-2030s a gradual one; a fade back to trend a modest one. Hong Kong's own signals would arrive earlier than the growth data: AI adoption rates across its banks and trading floors, cloud region and hyperscaler commitments on its soil, and the pipeline of AI-related listings on the Hong Kong Stock Exchange.
If growth goes explosive
Explosive is relative. At 14.8% growth a year, Hong Kong would run far ahead of its own 1.1% history, but behind both the frontier and its region. The United States would compound at nearly 39% and the East Asian median at 22.5%, so Hong Kong would slip in relative terms even as it grew fast. Still, doubling every five years means a child starting school today would finish university in an economy several times larger. Finance, logistics and professional services would deepen rather than change shape. Hong Kong is an aging city that draws workers in; faster growth and higher wages would strengthen that pull. There is a way this leaves Hong Kong worse off, and its geopolitical score of 1 is the real exposure. It rents frontier compute and access it does not control, and it lives inside chip rules written in Washington and Beijing. A decision made elsewhere could cut that access overnight. The hedge is to widen trusted-partner ties and secure capital market access rather than assume it. Even then, the pace-setter would shift to the state, testing how fast the HKMA, the securities regulator and the courts can supervise, approve and adjudicate.
What Hong Kong can do now
Three levers follow from the scores, and the first two pay off whether or not AGI arrives. Start with the no-regret moves. The first is geopolitical positioning, Hong Kong's weakest factor at 1. For a financial center, staying inside trusted-partner frameworks and keeping open access to global capital markets matters in every scenario; a cautious government can protect this today at no loss. The second is the energy side of compute and energy access, at 2.9. Firmer, expanded power — grid interconnection, new generation and faster permits — protects the economy under every path and is the very input a data center build would need. The third lever is the bet. Chip access and physical build speed, at 2.6, barely move growth if AI stays ordinary, but under a fast takeoff they become Hong Kong's biggest lever. Meanwhile the diffusion and cyber strengths, at 4.3 and a leading 5, should be guarded, not left to erode. Singapore, a fellow high-trust diffuser, lifted its data center moratorium and set a green data center roadmap to court hyperscalers with clean power; Hong Kong could adapt the model. To see how moving any of these scores shifts Hong Kong's path under each scenario, open the atlas's policy editor.
Use the policy editor to test how different factor scores change Hong Kong’s modeled path. The roadmap builder below can then incorporate those targets into a 1,000-day planning prompt.
Drafted with Claude, Anthropic’s AI model, from the atlas’s data and an editorial template set by the author.
Create a 1000-day AGI and growth roadmap prompt
This prompt can be used with Claude, ChatGPT or an open-weight model hosted on your institution’s systems. It includes the atlas material for Hong Kong: the country brief, economic structure, region, archetype and global scenarios. It instructs the model to ask for local information, use existing strategies and the political calendar, and preserve the atlas’s interpretation rules. The prompt is assembled in your browser; the information entered here is not sent elsewhere.
1 · Read the brief → 2 · Set targets in the policy editor → 3 · Generate and copy the prompt → 4 · Run it with an approved model, with high reasoning effort and web access where permitted
Instructions are generated in the selected language; the data annex remains in English. Translations are machine-drafted, and corrections from native speakers are welcome through the contact links on the start page.