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Samsung guides to a record $58 billion quarter on AI memory demand

Samsung expects roughly 89.4 trillion won in Q2 operating profit, about 19 times last year’s depressed quarter, on surging high-bandwidth memory demand from AI data centers. Sales guidance sits near 171 trillion won.

The AI buildout just produced one of the most extraordinary earnings guides in semiconductor history. Samsung Electronics expects operating profit of roughly 89.4 trillion won, about $58 billion, for the second quarter, per its official guidance. That is approximately 19 times the depressed quarter a year ago, and up 56 percent from the previous quarter’s record.

Revenue guidance sits near 171 trillion won. The driver is not phones or televisions. It is high-bandwidth memory, the stacked chips that feed AI accelerators, where demand from data-center buildouts has turned memory from a brutal cyclical business into the choke point of the technology economy.

The memory supercycle is the AI buildout’s second act

Every GPU shipped needs HBM stacked beside it, and the capacity to make advanced memory takes years to add. That scarcity is showing up across the supply chain at once: in Samsung’s guide, and in the demand signals downstream, like Dell’s $51.3 billion AI server backlog. When one quarter of one company’s operating profit approaches the annual GDP of a small country, the market is telling you where the bottleneck lives.

The year-over-year multiple deserves honest framing: the comparison quarter was unusually weak, which inflates the 19x figure. The sequential move, up 56 percent from an already-record first quarter, is the cleaner signal.

What to watch

Watch whether Samsung converts guidance into confirmed results at month-end, how rivals SK Hynix and Micron guide against the same demand, and any capex announcements that follow. Memory makers historically overbuild at exactly this point in the cycle; whether AI demand is different is the trillion-won question. Two quarters on, that scarcity has only hardened: memory and megawatts, not GPUs, are now the AI buildout’s binding constraint, with Micron’s HBM sold out through 2027 and SK Hynix’s 2026 output pre-sold.

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Dr. Joseph Joshua

Dr. Joseph Joshua is the founder and editor of Corewire. A medical doctor by training, he brings the evidence-first discipline of clinical medicine to technology journalism: claims get checked against primary sources before they get published. He has produced technology and B2B content for companies across…

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