Notes ·
RAM Prices May Be Showing Us the Shape of the AI Boom
PCPartPicker’s memory price trends are remarkable because the change does not look like ordinary inflation.
For much of 2024 and 2025, DDR5 pricing moved within a fairly predictable range. Then, beginning around the fall of 2025, the curves changed dramatically.
Reporting based on PCPartPicker’s data shows 64GB DDR5-5600 and DDR5-6000 kits sitting a little above $200 for much of the preceding period before climbing to roughly $800 and $900 respectively by the end of 2025. A typical 32GB DDR5-6000 kit that averaged around $125 earlier in 2025 had already passed $250 by late that year.
By June 2026, the cheapest 32GB DDR5 kits tracked in the United States were approaching $375.
The hypothesis worth testing is that this is not simply a temporary shortage of RAM.
AI is changing what memory manufacturers choose to manufacture.
High-bandwidth memory used by AI accelerators consumes substantially more manufacturing capacity than ordinary DDR5. Micron has said its HBM production has roughly a 3-to-1 trade ratio with DDR5, meaning producing a given amount of HBM consumes about three times the wafer capacity that could otherwise produce conventional DDR5. Micron expects tight DRAM and NAND supply conditions to persist beyond 2026.
TrendForce is seeing the same thing from another direction. The largest DRAM manufacturers are prioritizing server products, severely squeezing consumer memory supply. Its July outlook says AI-driven demand is expected to grow faster than new supply through 2027.
That strongly supports the hypothesis that AI infrastructure is indirectly making ordinary computers more expensive.
It is not that an AI data center is buying the same DIMM someone would put in a gaming PC. The connection happens further upstream. The same manufacturers, cleanrooms, wafers, equipment and capital can produce different kinds of memory, and manufacturers naturally allocate scarce capacity toward the products with the strongest demand and highest margins.
There are, however, facts that keep me from concluding that RAM prices will simply continue upward forever.
Consumer demand is already weakening.
TrendForce describes the DRAM spot market as subdued, with buyers refusing to chase increasingly high prices. Earlier PCPartPicker data also showed several memory categories temporarily flattening even though the underlying shortage had not disappeared.
That looks like demand destruction.
At some point people simply stop upgrading computers, buy less memory, keep older machines longer or decide that 32GB is good enough.
There are other factors too.
DDR4 production has been winding down as manufacturers move toward newer products, so not every price increase can be attributed directly to AI. Retail charts can also exaggerate shortages when inexpensive products disappear from inventory, leaving only expensive kits in the average. Canadian PCPartPicker prices additionally reflect Canadian retailers and currency effects rather than the underlying DRAM contract price alone.
And enormous amounts of new manufacturing capacity are being built.
Micron recently increased its planned U.S. investment to more than $250 billion through 2035, while SK Hynix just announced another roughly $38 billion of production expansion in South Korea.
The problem is that semiconductor fabs take years to build.
So my guess is that we are somewhere in the middle of an unusual memory supercycle.
If AI infrastructure demand continues growing faster than manufacturers can expand capacity, consumer RAM could remain painfully expensive through 2027 and possibly longer.
But there is another outcome that seems entirely plausible.
Suppose hyperscalers eventually slow their spending. Or models become dramatically more memory-efficient. Or new inference architectures reduce the amount of expensive memory required per user. At the same time, all of the manufacturing capacity currently being built begins coming online.
Suddenly the equation reverses.
Memory manufacturers could find themselves with enormous production capacity built for demand that is no longer growing at the same rate.
And DRAM has historically been an exceptionally cyclical commodity. Manufacturers expand during shortages, supply eventually catches demand, inventories rise and prices collapse.
That is why these PCPartPicker graphs may eventually become interesting evidence in the larger AI story.
If the AI boom continues, elevated memory prices may become one of the hidden costs of building the infrastructure behind it.
If the boom slows before all this new capacity is absorbed, these nearly vertical price charts could eventually look just as dramatic going in the opposite direction.
The evidence right now supports the shortage.
It does not yet prove that today's prices are sustainable.
That distinction may tell us a lot about where the broader AI infrastructure boom goes next.