Micron and Sandisk: Is This Cyclical Industry Facing a Permanent Shift?

Yahoo Finance ·

The memory semiconductor sector has long suffered from extreme cyclical patterns. Because an inevitable downturn always seems imminent, investors frequently hesitate to pay a premium for equities such as Sandisk (SNDK -6.85%) and Micron (MU -5.63%) during prosperous periods, leaving these equities undervalued compared to other technology niches. Yet, the current surge in memory demand is unprecedented, potentially altering industry dynamics entirely. Memory chips primarily fall into two categories. NAND flash, produced by both Sandisk and Micron, retains information without power and is heavily integrated into solid-state drives for data centers. Conversely, DRAM transfers data at much higher speeds but loses information when powered down. Micron manufactures DRAM, whereas Sandisk does not. A specialized subset known as high bandwidth memory (HBM) is essential for AI accelerators like GPUs, highlighting the shifting technological landscape.

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The memory semiconductor market has historically shown extreme cyclical volatility, but is recently facing unprecedented changes driven by expanding AI demand. Attention is focused on whether the undervaluation of traditional memory companies like SanDisk and Micron will be resolved by this demand wave. Investors should closely monitor whether the demand for HBM and datacenter-oriented high-performance memory can change the nature of the cycle.

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As the expansion of AI infrastructure generates strong demand for high-performance memory semiconductors such as DRAM and HBM, expectations for improved earnings among related companies are rising. Micron's stock fell 5.63% and SanDisk's stock fell 6.85%, which is analyzed as a short-term correction reflecting traditional cyclical concerns.

If AI server demand continues in the future, a super-cycle scenario that mitigates the depth of the memory down-cycle remains valid. Conversely, a slowdown in downstream demand could resurface the risk of the conventional steep earnings decline. Therefore, AI accelerator shipments and datacenter investment indicators should be used as core monitoring points.

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