SK Hynix profit misses targets, raising AI boom slowdown fears

SK Hynix reported operating profit of 60.5 trillion won ($42 billion（約6.7兆円）) for the June quarter, falling short of the analyst consensus estimate of 64.2 trillion won. Revenue was 79.3 trillion won, below the average estimate of 83.9 trillion won. The company's net income surged 1,242% on one-time investment gains, but that figure was driven by accounting gains rather than core operating strength.

The earnings shortfall landed at a sensitive moment for semiconductor investors. SK Hynix leapt past Samsung Electronics to take the lead in the high-bandwidth AI memory market—the chips that power Nvidia's most advanced processors—putting it at the center of the AI infrastructure buildout. When the dominant supplier of a critical AI component posts a miss, it raises questions about whether the entire AI spending cycle is sustainable at current valuations. Investors worry that surging chip costs will either force cloud providers to cut orders or ripple into the broader economy, pushing up electronics prices and triggering production cuts in PCs, smartphones, and other devices.

The market's response was harsh. SK Hynix lost more than $500 billion（約80兆円） in value since June, with the stock wiping out roughly 45% of its value in about a month. Brokerages including Mirae Asset Securities trimmed their second-quarter profit estimates, citing moderated growth in average selling prices. However, management pushed back on slowdown signals. CEO Kwak Noh-Jung told Bloomberg earlier in the month that severe memory chip shortages would likely persist beyond 2030, suggesting sustained long-term demand. The company also won multiyear contracts with around 10 customers during the quarter. Still, investors remain focused on whether the company's forward margins and guidance can justify its stock performance and validate the high valuations built into the semiconductor complex.

SK Hynix's earnings miss arrives at a critical moment for semiconductor valuations. The company has become the de facto bellwether for AI infrastructure spending because it supplies the high-bandwidth memory that powers Nvidia's data-center chips—the workhorse of the AI boom. When SK Hynix posts weaker-than-expected results, it signals not just a single company's performance but a potential slowdown in the entire AI capital cycle that has driven semiconductor stocks to historic highs.

The miss was narrow in percentage terms—operating profit came in about 6% below consensus—but the market's reaction was severe. Investors appear concerned that rising chip costs will eventually force cloud providers and other data-center operators to throttle spending, or that the cost pressure will ripple into consumer electronics, dampening demand for PCs and smartphones. Brokerages have already begun trimming their profit estimates for SK Hynix based on moderating growth in chip average selling prices, suggesting the easy margin expansion phase may be ending. Yet the company's own management pushes back on slowdown fears: CEO Kwak Noh-Jung told Bloomberg that memory shortages would persist beyond 2030, and the company won multiyear contracts with around 10 customers in the quarter, pointing to sustained long-term demand.

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