AI Memory Crunch Could Push Phone Prices Higher

Data centers' demand for high-bandwidth memory is creating tightness in standard DRAM and NAND supply. This situation is reflecting onto smartphone and laptop prices, creating new cost pressure in the consumer electronics market.

The critical role of HBM chips in AI training and inference operations has led manufacturers to shift their capacity toward this segment. Memory producers such as Samsung, SK Hynix, and Micron are prioritizing data center orders while consumer electronics shipments are delayed.

From a market impact perspective, entry-level laptop and smartphone segments are among the most affected categories. Rising production costs are squeezing profit margins, particularly for price-performance-focused products. Some manufacturers are observed to be trending toward reducing storage capacity or increasing prices.

In the competitive landscape, major brands such as Apple and Samsung can partially alleviate this pressure through supply chain diversification strategies. However, small and medium-sized manufacturers are more vulnerable due to the absence of long-term supply contracts.

Industry analysts predict that this supply shortage could last until the first half of 2027. The activation of new memory fabrication plants and improvements in production technology could restore balance in the long term. However, price increases appear inevitable in the short term.

For consumers, this situation creates an environment that may delay new device purchase decisions or revitalize the second-hand market. The AI memory crunch may go down in history as a phenomenon that reshapes the balance between data center demand and consumer supply.