DRAM Prices Double in 2026 as Memory Makers Prioritize AI Data Centers Over PC Market

Bearish (-0.7)Impact: High

Published on November 2, 2026 (3 hours ago) · By VibeTrader

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DRAM semiconductor memory prices have roughly doubled from end-of-year 2025 levels as of November 2026, driven by a fundamental industry shift where top memory manufacturers are prioritizing supply allocation for artificial intelligence applications in US hyperscaler data centers over commodity products such as personal computers [1]. This supply squeeze reflects the intense demand for memory chips in AI infrastructure, with manufacturers deliberately deprioritizing general-use products in their production strategies [1].

The market impact has been severe for PC makers and the broader personal computer segment. Shipments of personal computers in Japan fell 30% year-over-year during the April-September 2026 period, directly attributable to stretched memory supplies [1]. This represents a significant headwind for traditional PC manufacturers who are unable to secure adequate DRAM allocations at competitive prices, as memory chip makers continue to channel their production capacity toward the more lucrative and strategically important AI data center market [1].

The pricing dynamics underscore a critical competitive imbalance in the semiconductor supply chain, where US hyperscalers' substantial purchasing power and strategic importance to memory manufacturers have effectively squeezed out commodity DRAM demand from the PC sector [1]. This prioritization strategy by top memory makers has created substantial pricing pressure in the commodity DRAM segment, forcing PC manufacturers to contend with both supply constraints and dramatically elevated input costs [1].

CONCLUSION

The doubling of DRAM prices and 30% decline in Japanese PC shipments reflect a structural reallocation of semiconductor supply toward AI infrastructure at the expense of traditional PC markets. PC makers face a challenging environment with constrained memory availability and significantly elevated component costs, likely to persist as long as hyperscaler demand for AI applications remains elevated.

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Sources: asia.nikkei.com