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High-Bandwidth Memory Demand from AI Data Centers Creates Global Semiconductor Supply Bottleneck

The rapid expansion of artificial intelligence (AI) data centers is creating a significant supply bottleneck in the semiconductor industry. As hyperscalers invest billions in AI infrastructure, the demand for high-bandwidth memory (HBM) has surged, diverting production capacity away from standard electronics like smartphones and laptops. This shift has increased the cost of regular dynamic random-access memory (DRAM), with contract prices jumping as much as 98 percent in the first quarter of 2026. Memory manufacturers such as Samsung, SK Hynix, and Micron Technology are directing a growing share of capacity toward HBM, which stacks memory chips vertically to provide the high speed and data throughput required for AI training. This transition has shifted pricing power toward producers, but it has also increased the bill of materials for consumer electronics. For example, manufacturers have reported higher costs for game consoles, laptops, and vehicles, leading to increased retail prices and longer loan terms for consumers. Industry analysts suggest the memory shortage may persist through 2027 and beyond. To mitigate costs, some companies are re-releasing older hardware that utilizes cheaper, older memory standards.

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