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Why Smartphone and Laptop Prices Will Keep Rising

Major memory manufacturers report full production capacity is committed to AI data centers, leaving consumer device makers facing continued supply constraints.

By Aarav MehtaPublished 4 Min Read
Why Smartphone and Laptop Prices Will Keep Rising
Why Smartphone and Laptop Prices Will Keep Rising
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The Memory Market Is Fully Committed

Smartphone and laptop prices are rising. Here's why they won't stop.

A single computing component has become the key to everything in the modern technology landscape. The three companies that make most of the world’s memory — Micron, Samsung, and SK Hynix — are saying their entire output is spoken for.

Micron has completed pricing agreements for its full 2026 supply of high-bandwidth memory. The company states that tightness in the market will persist beyond 2027. This assertion comes from Micron directly, indicating a long-term outlook for restricted availability rather than a temporary fluctuation.

SK Hynix says customer demand has already claimed all of its DRAM and NAND production for the coming year. The Korean manufacturer does not appear to have any remaining inventory or capacity available for allocation to other sectors in the near future.

Samsung expects its high-bandwidth memory sales to more than triple over the relevant period. This projection suggests a massive shift in manufacturing priorities away from standard consumer components toward specialized industrial applications.

A Structural Reallocation of Resources

These conditions reflect a structural reallocation, and the structure in question is the global AI data center industry. Powerful buyers secure in advance what smaller buyers receive on less favorable terms. Most people do not think about DRAM or NAND flash.

The crucial components of computing are usually invisible until they are no longer available at reasonable costs. Robert Dennard invented the one-transistor DRAM cell in 1966. This invention laid the groundwork for modern memory usage, allowing data to be stored reliably and cheaply enough that it disappeared into the background hum of modern life.

NAND flash emerged in 1987 as a complementary technology. Both technologies became so pervasive and reliably cheap that they disappeared from public consciousness until periodic price spikes occurred. During these events, technology reporters would use the word “shortage” before everyone forgot again.

That era of comfortable ignorance is now over for a single reason: artificial intelligence. The demand generated by AI models has fundamentally changed how manufacturers allocate their production lines and raw materials.

The Architecture of High-Bandwidth Memory

HBM, or high-bandwidth memory, is a kind of DRAM with distinct architectural features that separate it from standard consumer memory. What makes HBM distinct is its architecture involving stacked dies and specialized integration methods.

Individual DRAM dies are thinned to less than the width of a sheet of paper during the manufacturing process for this specific technology. These thin wafers are punctured with thousands of microscopic holes called through-silicon vias. This step is critical for connecting multiple layers vertically without using traditional wires.

The resulting stack consists of eight or twelve layers high, depending on the specific model and manufacturer specifications. Once stacked, these memory modules are integrated onto an interposer alongside a processor to create a unified computing unit.

This architecture allows HBM to deliver more than a terabyte per second of bandwidth to a single chip. The latest Samsung HBM4 reaches 3.3 terabytes per second through a 2,048-pin interface. This performance level is necessary for the most demanding computational tasks currently being developed.

Nvidia’s DGX B200 system aggregates eight GPUs to achieve a combined memory bandwidth of 64 terabytes per second. Every wafer of silicon devoted to HBM production is a wafer not devoted to DDR4 that goes into standard consumer devices like smartphones and laptops.

Impact on Consumer Device Pricing

The high demand from powerful AI data center buyers means that smaller buyers, such as consumers purchasing smartphones and laptops, will face less favorable terms. The available supply of silicon wafers is finite, and the allocation decision has been made by manufacturers in favor of large-scale industrial contracts.

When a manufacturer commits its entire output to specific customers through pricing agreements or advance orders, there is no surplus left for the open market. This dynamic forces prices upward as demand outstrips supply across all consumer electronics categories reliant on these memory components.