The RAM shortage could last years
Source published ·Modelwire updated
Original coverage: The Verge — AI ↗·How Modelwire adds context

The development
DRAM suppliers will only meet 60% of global demand by end-2027, with SK Group warning shortages could persist until 2030. Samsung, SK Hynix, and Micron are ramping production but face a multi-year capacity crunch affecting AI infrastructure buildout.
Modelwire’s AI-generated summary of coverage from The Verge — AI.
Modelwire analysis
Analyst takeOur AI-generated reading of the wider context and the next developments to watch.
The more pointed detail buried in the SK Group warning is the 2030 horizon, which means this isn't a near-term supply blip that capex can fix quickly. Even aggressive fab investment today runs into 18-to-24-month lead times for advanced packaging and HBM tooling, so the shortage compounds precisely as AI infrastructure demand is accelerating.
Stratechery's piece from April 13 ('Mythos, Muse, and the Opportunity Cost of Compute') argued that controlling demand, not supply, becomes the leverage point when compute is constrained. A multi-year RAM shortage is exactly the condition that argument was stress-testing. Meanwhile, the funding activity we covered that same week, including Upscale AI raising at a $2B valuation just seven months in, reflects investor bets on infrastructure layers that sit above the physical memory constraint. If memory stays scarce through 2027 and beyond, those infrastructure bets get more complicated: efficiency and orchestration matter more, but raw capacity ceilings still bite.
Watch whether Samsung or SK Hynix announces accelerated HBM4 capacity commitments before end of Q3 2026. If neither does, the 60% demand-fulfillment figure for 2027 should be treated as a ceiling, not a floor, and AI infrastructure buildout timelines will need to be revised accordingly.
This interpretation is generated from the summary above and the archive coverage cited below. Our methodology · Report an error
Coverage behind this analysis
These archive entries ground the connection in our analysis. They are ordered by source publication date, with links to our coverage and the original sources.
·Stratechery
Mythos, Muse, and the Opportunity Cost of Compute
Stratechery examines whether Aggregation Theory remains viable as AI compute becomes scarce, arguing that controlling demand—rather than supply—will determine market power in constrained environments.
MentionsSamsung · SK Hynix · Micron · SK Group · Nikkei Asia
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