Memory & Storage

Samsung Eyes Record $80bn Quarterly Profit on AI Memory Demand

Samsung expects a record quarterly profit of roughly $80 billion as AI memory demand soars, The Next Web reports, in what would be the company's largest quarterly result.

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Nathan Brooks
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Samsung expects a record quarterly profit of roughly $80 billion, a figure the company attributes to soaring demand for AI memory, according to a report from The Next Web. The projection, if confirmed in final results, would mark the largest quarterly profit in the South Korean company's history.

The number stands out for its scale. An $80 billion quarterly profit would place Samsung among the most profitable technology companies on the planet for the period, comparable to the peak earnings of the largest US semiconductor and software firms. The driver, according to the report, is memory — specifically the DRAM and NAND products at the core of Samsung's semiconductor division.

Why is AI memory demand pushing profits this high?

The AI boom has changed what data centers buy. Training and running large language models requires far more memory per server than traditional cloud workloads, and high-bandwidth memory (HBM) stacked alongside AI accelerators has become the most contested segment of the DRAM market.

Samsung is one of a small group of suppliers — alongside SK hynix and Micron — capable of producing this class of memory at volume. When demand from AI infrastructure builders outruns what those three companies can supply, prices rise across the entire memory portfolio, lifting margins on standard DRAM and NAND products as well.

The Next Web's report frames Samsung's expectation as a direct consequence of this dynamic: AI memory demand has soared, and Samsung's profit projection has soared with it.

What is confirmed and what is still an expectation?

The $80 billion figure is a company expectation rather than an audited result. Samsung has a track record of issuing guidance before formal earnings announcements, and final reported figures typically land close to those projections — but the precise number may shift when the company books its actual results for the quarter.

What the projection does confirm is the direction of the memory market. Samsung's management sees demand conditions strong enough to project a record quarter, a signal that AI-driven memory orders have not slowed despite broader concerns about the pace of AI infrastructure spending elsewhere in the industry.

How does this fit the broader competitive picture?

Memory is a cyclical business, and Samsung has ridden both sides of that cycle. In downturns, oversupply has driven memory prices below cost and pushed Samsung's chip division into losses. In upcycles, the same fixed manufacturing base generates enormous operating leverage, because incremental revenue from higher prices flows almost directly to profit.

The AI buildout has produced one of the sharpest upcycles in the industry's history. Hyperscalers and AI developers are competing for constrained memory supply, and producers with available capacity and advanced product stacks are capturing the gains. Samsung, as the world's largest memory maker by revenue, is positioned near the center of that dynamic.

The projection also carries weight for the supply chain beyond Samsung itself. Memory pricing affects the cost of servers, smartphones, and PCs, since DRAM and NAND sit in nearly every computing device sold. A record Samsung quarter built on memory strength implies that tight supply and firm pricing are persisting across the market, with buyers continuing to absorb higher costs.

What comes next?

Investors and industry analysts will watch Samsung's formal results release to see whether the final figure matches the roughly $80 billion expectation, and whether management signals how long the AI memory cycle can sustain pricing at these levels. If demand from data center customers holds, Samsung's record quarter may not be the peak of this cycle.

Source: Google News: AI chips

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Nathan Brooks

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Senior reporter covering industry trends and analytics at Chip Dispatch.

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