⏱️ Lectura: 8 min

South Korea will spend 9.4 trillion won on artificial intelligence in 2027, an 84% jump over the previous year. The figure is not an isolated announcement: it’s part of a record science and technology budget of 29.65 trillion won proposed by the Ministry of Science and ICT (MSIT).

📑 En este artículo
  1. TL;DR
  2. What happened
  3. Context and history
  4. Details of the AI budget and its distribution
  5. How to explore this data yourself
  6. Impact and analysis
  7. What’s next
  8. Frequently Asked Questions
    1. What is South Korea’s MSIT?
    2. Why is the AI budget growing so much in 2027?
    3. What percentage of the total science budget does AI represent in 2027?
    4. Is the AI budget already approved?
    5. How does South Korea’s AI budget compare to other countries?
    6. What is GERD?
  9. References

The move confirms that Seoul is betting heavily on the global AI race just as several governments adjust their science budgets. South Korea’s AI budget now accounts for nearly a third of all the country’s public research and development spending for the next fiscal year.

TL;DR

  • The Ministry of Science and ICT (MSIT) proposes an AI budget of 9.4 trillion won for 2027, an 84% year-over-year increase.
  • The total science and technology budget for 2027 reaches a record 29.65 trillion won.
  • The AI allocation amounts to nearly 31.7% of South Korea’s entire 2027 science budget.
  • The 84% increase implies that the 2026 AI budget was around 5.1 trillion won.
  • The proposal must go through South Korea’s National Assembly before taking effect.
  • South Korea aims to position itself among the leading AI powers with sovereign computing and its own models.
  • The increase comes as other countries adjust or cut science budgets.

What happened

South Korea’s MSIT presented its budget proposal for fiscal year 2027, and the artificial intelligence allocation grew the most within the science package. According to Herald Business, the ministry is seeking 9.4 trillion won for AI alone, up from a base that, working backward from the 84% increase, was around 5.1 trillion won the previous year.

Coverage from The Chosun Ilbo agrees on the same figure: the AI budget rises 84%, within a total science and technology package of 29.65 trillion won, the highest the MSIT has ever proposed. That total figure still has to go through the National Assembly before becoming budget law.

Context and history

South Korea has spent years trying not to fall behind in the artificial intelligence race. The country has its own language model labs (such as Naver’s HyperCLOVA or LG AI Research’s EXAONE) and a semiconductor industry that dominates much of the high-bandwidth memory (HBM) chain that powers training GPUs, with Samsung and SK Hynix as central players.

The AI budget, now growing 84%, adds to a declared strategy of turning South Korea into one of the world’s leading AI powers, with its own sovereign computing instead of relying entirely on foreign infrastructure. This push also runs parallel to moves by other countries: while South Korea increases its science spending, agencies like the NSF in the United States have cut budgets in basic science areas to prioritize AI, and the European Union is pushing its own technological sovereignty package.

South Korea's AI budget for 2027
The AI allocation accounts for nearly a third of South Korea’s total science spending. Foto de Sasun Bughdaryan en Unsplash

Details of the AI budget and its distribution

The available numbers are limited but concrete. The MSIT proposes 9.4 trillion won for AI within a total budget of 29.65 trillion won. Doing the math, AI takes up approximately 31.7% of the country’s entire science spending for 2027, a huge share compared to how R&D budgets are typically split across dozens of areas (health, energy, space, materials, agriculture, and so on).

Fiscal yearAI budgetTotal science and technology budgetAI share
2026 (estimated, derived from the 84% increase)≈5.1 trillion wonNot reported in the sourceNot reported in the source
2027 (proposed by the MSIT)9.4 trillion won29.65 trillion won≈31.7%

To put this figure in international perspective, the indicator that organizations like the World Bank typically use is GERD (Gross Expenditure on R&D), research and development spending as a percentage of GDP. That indicator avoids the problem of directly comparing different currencies and helps place South Korea against the United States, China, or the European Union without depending on the won’s exchange rate.

flowchart TD
A["MSIT: Ministry of Science and ICT"] --> B["2027 budget proposal"]
B --> C["South Korea's National Assembly"]
C --> D["Total budget: 29.65 trillion won"]
D --> E["AI allocation: 9.4 trillion won"]
E --> F["Sovereign computing and infrastructure"]
E --> G["Foundational models and talent"]

The diagram summarizes the flow: the MSIT proposes, the National Assembly approves (or modifies), and from there funds are distributed to the strategic areas the South Korean government has mentioned in its sovereign AI discourse, though the available source doesn’t break down exactly how much goes to each subarea within the 9.4 trillion won.

How to explore this data yourself

There’s no need to wait for a news outlet to translate the figures: R&D spending data as a percentage of GDP is publicly available via the World Bank API. A minimal first call looks like this:

curl -s "https://api.worldbank.org/v2/country/KOR/indicator/GB.XPD.RSDV.GD.ZS?format=json&per_page=5"

That command returns, in JSON, South Korea’s research and development spending as a percentage of GDP for the most recent years reported by the World Bank. To keep only the year and the value, you can filter with jq:

curl -s "https://api.worldbank.org/v2/country/KOR/indicator/GB.XPD.RSDV.GD.ZS?format=json&per_page=5" | jq '.[1][] | {anio: .date, gasto_pib: .value}'

By changing KOR to USA, CHN, or DEU in the same URL, you can build your own country comparison using the same endpoint, without depending on currency conversions.

💡 Tip: The World Bank’s GB.XPD.RSDV.GD.ZS indicator measures R&D spending as a percentage of GDP and is useful for comparing South Korea with other countries without depending on the won’s exchange rate.

Impact and analysis

An AI budget that rises 84% in a single year is a strong signal, especially combined with South Korea’s position in the chip supply chain. Samsung and SK Hynix account for much of the world’s HBM memory production, the component that determines how much AI can be trained per GPU. A larger public AI budget reinforces that advantage by funding local computing, talent, and foundational models alongside the private semiconductor industry.

HBM memory chips used in AI infrastructure
Samsung and SK Hynix are key suppliers of the HBM memory used by AI clusters. Foto de Immo Wegmann en Unsplash

The other side of the analysis is one of relative scale: 9.4 trillion won is a significant figure in the South Korean context, but comparing it in absolute terms with other countries’ packages would require converting it to another currency, something worth doing with caution.

⚠️ Heads up: Comparing South Korea’s AI budget in dollars is misleading if the exchange rate isn’t fixed: the won moves against the dollar, and a conversion done today isn’t comparable to one from a year ago.

Nor should we assume that a budget increase automatically translates into results: actual spending execution, procurement timelines, and the availability of local technical talent are factors that determine whether those 9.4 trillion won turn into usable computing and models or remain partially unexecuted, something common in public science budgets across several countries.

What’s next

The MSIT’s proposal still has to go through South Korea’s National Assembly, which reviews and sometimes adjusts the science budget before approving it for the following fiscal year. Until that process ends, the 9.4 trillion won figure for AI remains a proposal, not a done deal, though the 84% increase already signals the direction South Korea’s government wants to take with its 2027 AI budget.

📖 Summary on Telegram: View summary

If you want to verify it with your own data, run the curl command against the World Bank API from this article and compare South Korea’s R&D spending with your own country’s.

Frequently Asked Questions

What is South Korea’s MSIT?

It’s the Ministry of Science and ICT, the South Korean agency responsible for proposing and executing the national budget for research, development, and technological infrastructure, including the AI allocation.

Why is the AI budget growing so much in 2027?

South Korea aims to strengthen its position in the global AI race with sovereign computing, its own models, and support for its semiconductor industry, in a context where other countries are also redefining their science priorities.

What percentage of the total science budget does AI represent in 2027?

Around 31.7%, the result of dividing the 9.4 trillion won for AI by the total of 29.65 trillion won proposed for science and technology.

Is the AI budget already approved?

No. It’s an MSIT proposal that must go through South Korea’s National Assembly before becoming the final budget for fiscal year 2027.

How does South Korea’s AI budget compare to other countries?

The available source doesn’t include a direct comparison. For that, it’s recommended to use standardized indicators such as the World Bank’s R&D spending as a percentage of GDP, rather than comparing figures in local currency or converted dollars.

What is GERD?

It stands for Gross Expenditure on Research and Development, an indicator that measures how much a country spends on research and development as a percentage of its GDP, used for international comparisons without depending on exchange rates.

References

  • Herald Business: coverage of the record 29.65 trillion won budget and the 84% AI increase.
  • The Chosun Ilbo (via MSN): details of the Ministry of Science and ICT’s announcement on the AI budget.
  • Wikipedia: history and functions of South Korea’s Ministry of Science and ICT.
  • World Bank: research and development spending indicator as a percentage of GDP, used to contextualize South Korean investment.

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Imagen destacada: Foto de Melody Zhang en Unsplash


Andrés Morales

Developer and AI researcher. Writes about language models, frameworks, developer tooling, and open source releases. Covers ML papers, the tech startup ecosystem, and programming trends.

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