South Korea
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
These countries supply difficult-to-replace inputs, including fabrication, memory, equipment, materials and lithography.
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
Production is relatively manufacturing-intensive. Near-term effects depend on machinery, robotics, supply chains, energy and firms’ capacity to reorganize production, as well as on language models.
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 South Korea starts
South Korea enters the AGI era as a supply chain chokepoint: one of the few places that make an input the frontier cannot do without. Here it is memory. Samsung and SK Hynix supply much of the high-bandwidth memory that stacks beside every AI accelerator. The scores show the strengths. AI diffusion capacity is 5, the top score in the atlas, meaning no country spreads AI through its economy faster — though even leaders must keep moving. Physical build speed is 4.8; cyber resilience and geopolitical positioning both 4.5. The constraints are demographic and structural. Demographics scores 2: the population is aging and fertility is the world's lowest. Catch-up headroom is 1.7, because Korea already sits near the frontier. At about $36,200 per person, this is a high-income economy. Ten-year trend growth of 2.5% a year reflects a mature, slowing giant.
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. Korea would gain a small lift: 2.9% growth a year, 77th of 157. Its memory and fabrication would stay valuable, but its aging would still bite. Under Gradual takeoff, growth would climb for two decades and reach 15.4% a year once AGI matures around 2045. That would place Korea 10th in the world. An economy growing at 15.4% doubles in under five years. The long ramp gives Samsung, SK Hynix and the Yongin cluster time to turn indispensability into scale. Under Fast takeoff, growth would reach 28.5% a year from the early 2030s, a doubling every two to three years, and Korea's rank would rise to 7th. A fast world rewards the chokepoints Korea holds and the AI it already deploys well. Regulation and politics could slow or redirect any of these paths. How Koreans and their government 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. Korea's own signals would arrive earlier than GDP data: the HBM order books at Samsung and SK Hynix, capital spending on the Yongin semiconductor mega-cluster, hyperscaler contracts, and new grid connections and power deals for data centers.
If growth goes explosive
Explosive is relative. At 15.4% growth a year, Korea would still trail the frontier, where the United States would be compounding at 19.5%. Under Fast, Korea's 28.5% would again run behind a frontier near 39.2%. But both rates would run well ahead of the region, whose median growth is 12.8% under Gradual and 22.5% under Fast. At 28.5%, the economy doubles every two to three years. That pace would help offset a shrinking, aging workforce; AI would substitute for workers Korea will not have. Faster growth raises labor demand and wages, which could draw in the skilled migrants Korea has long struggled to attract. There is a way this leaves Korea worse off. Its chokepoint is also its exposure: memory is a target of every chip strategy, and Korea is a rule-taker inside a US–China regime that could cut its China sales or force a costly realignment. The hedge is to diversify customers and deepen alliance guarantees. Even then, the pace-setter shifts to the state, testing KEPCO's strained finances, transmission-line permitting and the National Assembly's speed.
What South Korea can do now
Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is demographics, low at 2. An aging society with the world's lowest fertility needs skilled-migration visas, higher participation by women and older workers, and human capital so people complement AI rather than compete with it. This is a no-regret move: the shortage is already here. The second is absorptive capacity, the thin catch-up headroom scored 1.7. Stronger institutions, open trade and technology transfer, and deeper finance and education pay off under every scenario. The third lever is the bet. Compute and energy access, at 3.2, carries the most weight and climbs steeply toward a fast world, where it becomes Korea's single biggest lever. Closing it means fast-tracking grid and generation — nuclear, gas, renewables with storage — and packaging power and land to anchor hyperscale data centers. Korea can adapt a peer's model: Japan is backing Rapidus, a state-supported venture building advanced chips in Hokkaido, to widen its chokepoint. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to see how moving these scores reshapes Korea's path under each scenario.
Use the policy editor to test how different factor scores change South Korea’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 South Korea: 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.