Deloitte offered an even longer timeline, forecasting the shortage may not ease until 2029, citing record memory chip sales, surging capital expenditure, and steep pricing that are reshaping budgets for data centers, enterprises, and consumers . Industry research firm IDC pushed the memory market turning point to the second half of 2028 at the earliest, with the DRAM supply shortage projected to widen to approximately 13% by Q4 2027
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The shortage is not just a pricing story — it is reshaping how enterprises and consumers buy hardware entirely.
Enterprise behavior has been the most striking shift. Morgan Stanley analyst Erik Woodring wrote that enterprises are viewing chipflation as a "multi-year structural headwind," and rather than delaying purchases, they are accelerating infrastructure spending to lock in supply before prices rise further . Morgan Stanley turned more bullish on U.S. IT hardware precisely because rising memory-chip costs are encouraging companies to buy sooner, not later
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Consumer hardware faces a very different dynamic. Even as total DRAM wafer capacity expands 30% by 2027, supply available for smartphones, PCs, autos, and industrial markets is projected to fall 12–15% short . PC sales are expected to shrink significantly in 2026 as manufacturers raise sticker prices
. Consumer electronics prices for laptops, smartphones, and potentially cars are being pushed higher, and analysts warn prices "may never come down" even after the shortage eases
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Allocation-based supply chains are becoming the norm. Morgan Stanley expects allocation-based supply chains (rather than spot pricing) to dominate, leaving non-AI buyers — the vast majority of the consumer and industrial market — with tighter pools, higher costs, and weaker access to supply .
In August 2026, South Korea announced multiple funding initiatives to support its semiconductor industry, which produces the overwhelming majority of the world's memory chips:
The memory shortage is fundamentally an AI-driven phenomenon, and Wall Street sees no relief in sight for AI infrastructure spending: