
The article argues Korea’s selloff is a buying opportunity rather than a structural shift away from Korean equities. The catalyst is the Kimi-K3 launch, described as cheap and strong at coding, which revives DeepSeek-style concerns that Chinese AI could pressure Samsung and SK Hynix memory demand. However, it concludes the key metric is revenue per token (not token volume), implying upside for models like Anthropic and OpenAI rather than a durable impairment to Korea.
The knee-jerk selloff in Korean memory names looks more like a positioning flush than a durable fundamental break. A cheaper, better coding model matters only if the market assumes AI spend is a fixed pie; in practice, lower inference costs usually expand usage, which supports total token throughput, device memory content, and eventually HBM demand even if frontier-model margins compress. The real revenue pool is still captured by the model/app layer, but the infrastructure layer often sees the second-order benefit from higher utilization.
Near term, the risk is sentiment-driven multiple compression across Korea semis rather than a cash-flow revision. That means the first move can overshoot for 1-3 weeks, but the thesis only becomes bearish if Samsung/SK Hynix commentary starts signaling weaker HBM/DRAM pricing or if hyperscaler capex is revised down over the next 1-2 quarters. If anything, a stronger Chinese model ecosystem is more likely to widen the global AI buildout than to shrink it.
The contrarian miss is that "cheap model" headlines are being read as token-deflationary for memory when the economically relevant variable is unit volume of inference, not model price per se. Over 6-18 months, efficiency gains should favor the companies that sell picks-and-shovels into a broader AI install base, while the true pressure sits on frontier-model monetization and any over-earned AI software multiples. KEP is not a clean express; its upside is indirect and gated by regulated tariff decisions, not model launches.
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mildly negative
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-0.10
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