Why is Micron Technology (MU) stock up today?

Micron Technology shares climbed from a previous close of $937 to $983.12 — a gain of roughly 4.92% — touching an intraday high of $994.80. The primary driver is a broadening of the AI trade: investors are looking past graphics-processing units (GPUs) and focusing on memory chips as a critical bottleneck in AI infrastructure, and Micron is the leading U.S. manufacturer of that memory.

A key piece of context is that the stock had recently entered bear-market territory — a decline of 20% or more from a recent peak — making the rebound notable. The recovery was supported by news that AI cloud company CoreWeave is exploring strategies to hedge memory-chip price risk, a development that signals how central memory supply has become to large-scale AI deployments. A TheStreet report specifically cited investors looking 'beyond GPUs in the AI chip trade' as the catalyst for today's jump.

Sector tailwinds added lift: a broader chip-stock rebound was reported, with Nvidia, Intel, and Micron all shaking off recent war-related fears. The tech-heavy QQQ index rose 1.12% on the day, providing a favorable backdrop for semiconductor names. Micron's fundamentals support the attention: last quarter, revenue grew 345.7% year-over-year and earnings growth came in at 1,368.5%, with reported EPS of $25.11 against an estimate of $20.71.

Micron's forward price-to-earnings ratio (P/E — a valuation measure comparing price to expected future profits) stands at just 6.5, even as the trailing P/E is 21.2, reflecting market expectations of rapid earnings growth ahead. A Barron's piece highlighted why the stock could continue to rise, and a Simply Wall St. analysis described the valuation as potentially reasonable given the company's fresh AI expansion plans.

As of this session, Micron's market capitalization stands at approximately $1.11 trillion. The stock remains in the spotlight as AI infrastructure spending continues to prioritize memory alongside compute, with CoreWeave's hedging activity illustrating just how tightly memory supply is now tied to cloud AI buildouts.