South Korea Unveils FY2027 Budget, Allocating KRW 21.3 Trillion to AI and Semiconductors

Storage Duo's Windfall Earnings Provide the Backing as South Korea Unveils Largest-Ever AI Semiconductor Budget

Source: Semiconductor Horizons Published: 2026-11-02 16:11 Storage AI-generated poster Record-breaking budget, South Korea ramps up on AI and semiconductors.

The South Korean government has unveiled its budget proposal for fiscal year 2027, with total spending reaching 820.9 trillion won (approximately US$610.14 billion), up 12.8% year on year and setting the largest annual budget in the country's history. The core focus of this budget round is unmistakable: artificial intelligence, semiconductors and supporting infrastructure together receive 21.3 trillion won in dedicated funding, of which 4.7 trillion won is for R&D on an autonomous, domestically controlled large model (the so-called "sovereign AI model"). At the industrial support level, the budget also sets aside a dedicated program to train 2,000 semiconductor specialists and expands the scope of basic AI education, building up human resources for subsequent industrial expansion. The budget bill still needs to be submitted to the National Assembly for review, and the final scale and funding direction may still be adjusted. In terms of growth rate, the 12.8% increase is markedly higher than the conventional level of recent years, reflecting an orientation toward concentrating fiscal resources on technology fields.

This budget arrangement is not an isolated event. Sovereign AI models have become a priority that the European Union, Japan, India and other economies are racing to advance, and South Korea is entering with high-profile fiscal resources in order to avoid falling behind in the technology race. On the semiconductor side, manufacturers represented by Samsung Electronics and SK Hynix have long dominated the supply of memory chips, especially high-bandwidth memory (HBM), and the upswing in memory demand driven by global AI infrastructure buildout is providing strong support for South Korean chip exports. The competition for semiconductor talent has become a global issue, with the chip acts of the United States and the European Union both listing talent cultivation as a priority; South Korea's move is intended to shore up industrial shortcomings. However, whether sovereign AI models can generate sustainable commercial returns still requires time to verify, and the actual effect of fiscal investment will ultimately depend on how applications are implemented.

From a macro perspective, this budget is built on the foundation of a highly robust export sector. South Korea's annual total exports are approaching the US$1 trillion mark, with semiconductors long ranking as its largest export category, and the export increment brought by AI-related chip demand provides the confidence for fiscal expansion. Besides semiconductors, ships, automobiles and power batteries are also major export drivers, and the multi-engine support makes the export base relatively solid. By stepping up AI and semiconductor investment at this time, the government is effectively converting short-term prosperity into bargaining chips for long-term competitiveness: maintaining industrial leadership while paving the way for future export structure upgrading. However, budget expansion also means rising fiscal expenditure pressure, and the deficit level, debt scale and the actual efficiency of fund execution will all be focal points for subsequent market observation.

From an industrial landscape perspective, South Korea's budget layout reflects two characteristics of the new round of global computing power competition. First, the center of competition is extending from single-chip manufacturing to the full chain of "chips + models + talent + infrastructure," with fiscal subsidies becoming the main tool for countries to compete for a voice in the industrial chain; second, semiconductor investment traditionally led by enterprises is being deeply intervened in by government forces, and the industrial landscape may thus be reshaped. Under geopolitical factors, advanced process and packaging capacity have become scarce resources that countries compete for, and South Korea's increased investment will intensify Asia-Pacific capacity competition, meaning more orders for equipment and materials suppliers and possibly changes to the existing division of labor. For the upstream of the industrial chain, expanded investment will directly benefit wafer manufacturing, advanced packaging, and memory equipment and materials; South Korea's memory capacity and model R&D progress will also affect the supply-demand and pricing of key components such as HBM. Under the subsidy race among countries, government guidance is deepening its influence on corporate investment decisions, and fluctuations in the industrial cycle may also be amplified as a result. Whether South Korea can maintain its export advantages while converting fiscal investment into sustainable technological and industrial returns is the key variable for observing the direction of its technology industry in the coming years.

Judging from the latest earnings reports, the confidence behind this budget has already become evident on the industrial side. Samsung Electronics' results for the third quarter of 2026, disclosed at the end of October, show consolidated revenue of 195.3 trillion won, up about 127% year on year, and operating profit of 107.4 trillion won, up about 783% year on year; of this, the semiconductor division's revenue was 106.5 trillion won, with an operating margin of about 72%, accounting for almost all of the company's profit. SK Hynix performed even more prominently in the same period: third-quarter revenue was 104.6 trillion won, breaking through the 100 trillion mark for the first time, up about 328% year on year; operating profit was 83.3 trillion won, up about 632% year on year, with an operating margin as high as 80%; average DRAM and NAND prices rose about 30% and 29% quarter on quarter, respectively. The earnings reports of the two memory giants point to the same conclusion: AI-driven memory demand remains in a phase of rising volumes and prices, and the short-term supply shortage of high-bandwidth memory such as HBM is difficult to reverse, which also provides the most direct economic basis for South Korea to continue stepping up AI and semiconductor investment.

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