Economy June 30, 2026 08:20 AM

Wolfe Research Says AI-Driven Memory Price Spike Is Adding to U.S. Core Inflation

Analyst: Rapid DRAM and NAND gains have already boosted core PCE; measurement changes will partly offset the effect

By Avery Klein
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Wolfe Research warns that sharply higher prices for memory chips, driven by expanded AI infrastructure spending, have meaningfully increased U.S. core inflation readings and that further inflationary pressure could materialize as costs move through consumer electronics pricing. The firm also notes an upcoming BEA methodology change that would modestly reduce the measured computer software component of core PCE.

Wolfe Research Says AI-Driven Memory Price Spike Is Adding to U.S. Core Inflation
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Key Points

  • Wolfe Research estimates that rising memory prices have added about 30 basis points to core PCE inflation.
  • DRAM and NAND flash prices have increased roughly two to six times as hyperscalers expand AI infrastructure, reversing decades-long disinflation in computer prices.
  • Apple's planned price hikes for MacBook, iPad and iPhone are estimated to contribute about 5 basis points to core PCE; higher memory and storage costs could raise the iPhone's bill of materials by roughly 25%, implying a potential retail increase of more than $200 if fully passed on.

Wolfe Research said that the rapid rise in memory chip prices tied to the surge in artificial intelligence infrastructure has already made a noticeable contribution to core inflation, and that additional upward pressure is possible as those increased component costs work their way into consumer electronics retail pricing.

In a client note, analyst Stephanie Roth estimated that higher memory prices have added approximately 30 basis points to the core personal consumption expenditures (PCE) inflation metric. Roth summed up the unexpected effect with a blunt observation: "AI was supposed to make everything cheaper. Instead, one of the first places it's showing up is in higher prices."

The firm highlighted robust demand for DRAM and NAND flash memory as cloud providers and hyperscalers expand AI compute capacity. Wolfe said the surge in demand has driven memory prices up by a factor of roughly two to six times, contributing to a reversal of a long-standing disinflationary trend in computer prices.

Wolfe noted that computer prices - historically a steady source of downward pressure on inflation - are now "rising at their fastest pace in decades." The change in trajectory has drawn attention to consumer electronics pricing and to major device manufacturers that may pass higher component costs through to buyers.

The firm singled out Apple as a notable example, estimating that the company’s planned price increases for the MacBook, iPad and iPhone could collectively add about 5 basis points to core PCE inflation if implemented as anticipated.

Using TechInsights estimates cited via a media report, Wolfe said that elevated memory and storage costs could boost the iPhone's estimated bill of materials by roughly 25 percent. The firm added that, if that cost increase were fully passed through to consumers at retail, it would imply a price increase in excess of $200 for the device.

Wolfe also drew attention to a methodological offset coming from the Bureau of Economic Analysis. Beginning in September, the BEA will change the way it calculates the computer software component of core PCE. Wolfe estimated that, based on a hypothetical equal weighting of the three price indexes involved in the revision, the change could reduce measured core PCE by roughly 10 basis points.

The note frames the recent memory price dynamics as a supply-chain driven source of inflation that is already evident in pricing for electronics and that may continue to influence headline inflation measures as costs percolate through to finished goods.

Risks

  • Further pass-through of higher memory and storage costs into consumer electronics retail prices could sustain added inflationary pressure - impacting technology and consumer electronics sectors.
  • Changes in BEA measurement of the computer software component beginning in September could partially offset measured inflation by roughly 10 basis points, introducing uncertainty in near-term headline core PCE readings - affecting macroeconomic data interpretation.
  • Ongoing strength in demand from hyperscalers for AI infrastructure could keep memory prices elevated, posing continued cost pressure for hardware manufacturers and OEMs in the semiconductor and device markets.

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