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Bank of Korea Flags $100B Chip Export Risk From AI Slowdown
Central bank models a scenario where US tech spending cuts could slash semiconductor exports by up to $100 billion and shave 0.4 percentage points off 2027 growth.
What happened
South Korea's central bank warned on October 27 that the country's semiconductor exports could fall by $50 billion to $100 billion below earlier forecasts if major US technology firms curb capital spending on artificial intelligence infrastructure next year. The Bank of Korea submitted the analysis in a written response to a lawmaker, modeling what it called a "pessimistic scenario" to assess economic fallout from reduced US tech investment.
Under this scenario, a sudden export shortfall would reduce South Korea's gross domestic product growth rate by approximately 0.4 percentage point in 2027 and push the country's current account surplus well below the central bank's initial projection of $430 billion for that year. The analysis assumes a 10 percent decline in Korean semiconductor unit prices.
The warning underscores South Korea's heavy dependence on semiconductors, which account for roughly half of the country's total exports. Capital spending by five major US tech firms—Amazon, Google, Microsoft, Meta, and Oracle—has surged from $40 billion in 2025 to an estimated $80 billion in 2026, with projections to reach $110 billion in 2027. However, the Bank of Korea cautioned that considerable uncertainty remains over both the trajectory of AI demand and the broader memory chip business cycle.
Chanakya's Move
The Bank of Korea's warning is a strategic signal aimed at two audiences: US policymakers and markets. By quantifying downside risk now—before a slowdown occurs—the central bank is framing Korean economic health as directly tied to sustained US AI infrastructure investment. This serves to (a) reinforce that Korean tech giants like Samsung and SK Hynix are essential partners in the US AI race, making them strategically important to US plans, and (b) signal to markets that excessive pessimism about AI spending is premature. The central bank is not predicting a downturn; it is managing expectations by baking worst-case risk into the public conversation. A US tech slowdown remains the likeliest counter: if major cloud providers reduce capex or shift supply chains away from Korean memory chips to onshore production or alternative suppliers, the scenario materializes.