Test report DSG-1908 · Rev C · tested October 17, 2026

Memory & StorageDevice under test

AI Boom Drives Up Prices of Conventional Memory Chips

Reuters reports AI demand is raising prices of conventional memory chips. The mechanism is plausible. The numbers, timelines and supplier quotes are absent.

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Priya Raman

Spec summary

  1. Reuters report claims AI datacenter demand is driving up prices of conventional memory chips
  2. Production shift toward HBM for AI accelerators tightens supply of commodity DRAM and NAND
  3. No specific price figures, supplier quotes or timelines appear in the available report material
  4. PC, smartphone and automotive buyers face cost pressure without AI exposure of their own
Chip crunch: how the AI boom is stoking prices of less trendy memory - Reuters
Fig. AChip crunch: how the AI boom is stoking prices of less trendy memory - Reuters — AI-generated

AI datacenter demand is now pushing up prices of ordinary memory chips, according to a Reuters report published under the headline "Chip crunch: how the AI boom is stoking prices of less trendy memory." The story identifies a spillover effect. High-bandwidth memory (HBM, the stacked DRAM used in AI accelerators) is consuming manufacturing capacity, and the pressure is reaching commodity segments.

That claim deserves scrutiny. The report itself carries no figures in its headline or summary. Die Signal could not verify specific percentage increases from the material available. Readers should treat precise numbers as absent until vendors publish quarterly contract prices.

What is actually being claimed?

The core assertion is straightforward. Memory makers have shifted production lines toward HBM and advanced DRAM for AI servers. Supply of conventional products — the DDR modules in servers and PCs, and the NAND flash (the storage memory in drives and devices) — tightens as a result. Prices rise.

This is a capacity-arbitrage story, not a shortage story. The fabs exist. The wafers exist. The allocation has changed. That distinction matters for buyers planning 2025 procurement.

Why should non-AI buyers care?

The buyers hurt first are those with no AI exposure at all. Cloud vendors can absorb memory cost increases inside larger infrastructure budgets. PC makers, smartphone assemblers and automotive suppliers cannot pass costs upward as easily.

The logic resembles what happened during earlier DRAM cycles. When one high-margin product class absorbs fabrication capacity, commodity buyers pay more for identical silicon. A server that has nothing to do with training models competes for the same DDR5 supply as an AI cluster's host systems.

What does the report not say?

Three gaps stand out.

  • No supplier was named with a confirmed price quote in the available material.
  • No timeline was given for when buyers would see increases at the contract level.
  • No distinction was drawn between spot prices, which move daily, and the long-term agreements most large OEMs (original equipment manufacturers) actually sign.

Each gap is a caveat. A promise of rising prices without a timeline is a forecast, not a fact.

What happens next?

Watch three indicators. Contract price disclosures from the major memory makers will confirm or refute the claim. Allocation letters to smaller buyers are the earliest concrete signal. And any announcement of fab conversion from conventional DRAM to HBM lines would lock the trend in.

Reuters framing this as a "chip crunch" sets a high bar. Crunches are measured in lead times and unfulfilled orders. So far, the available material describes pricing pressure. Those are different conditions, and conflating them serves suppliers more than buyers.

Die Signal will follow contract price data as it emerges. Until then, the sound position is cautious: the mechanism is plausible, the direction is credible, and the magnitude is unverified.

via Google News: DRAM chip (Source)

Filed under

  • high-bandwidth-memory
  • dram
  • nand-flash
  • memory-pricing
  • ai-datacenter-demand
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Priya Raman

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Correspondent covering money, funding and market shifts around hardware layer of artificial intelligence at Die Signal.

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