Micron’s Misunderstood Selloff: Why the AI Memory King Is Still a Buy

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Written By pyuncut


Today, we’re taking a closer look at one of the most misunderstood moves in the semiconductor market — the sudden selloff in Micron Technology, despite the company sitting at the heart of the largest memory boom in a generation. If you watched Micron plunge nearly 10% in a single session last week, you might’ve assumed something was deeply wrong. But as we dig into the fundamentals, the competitive landscape, and the powerful tailwinds behind its business, you’ll see why this drop never made sense — and why long-term investors may look back at it as an opportunity.

Micron Technology, ticker MU, reached an all-time high of around $260 earlier this month. That upward momentum didn’t come out of thin air. It was supported by strong fiscal performance, rapidly rising AI-related demand, and a strategic position in markets that are now transitioning from cyclical to structural growth. But when Nvidia released earnings and mentioned rising costs and slightly slower data-center growth, investors panicked across the entire chip segment. Memory stocks, including Micron, were sold off aggressively — even though none of Nvidia’s commentary reflected directly negative news for Micron.

To understand why this market reaction was misplaced, we need to first understand Micron’s dominance in the memory world. According to the article on page 3 of the uploaded file , Micron controls 23% of the global DRAM market and 12% of the NAND flash market. DRAM accounts for over half of Micron’s revenue and remains essential for everything from servers to PCs to smartphones. NAND flash makes up another 40%, powering solid-state drives and mobile storage. These may sound like familiar commodities, but in the AI era, they are turning into strategic assets.

Where Micron has positioned itself most brilliantly is in HBM — High Bandwidth Memory. This is the ultra-fast memory required to feed GPUs used for training large language models, vision models, and high-performance workloads. Nvidia’s AI accelerators, AMD’s MI series, and other next-gen chips cannot hit peak performance without massive amounts of HBM. And Micron is one of just three global suppliers capable of producing this type of memory at scale.

According to the article, Micron began shipping HBM3E samples in 2024 and is ramping up production aggressively through 2025 and 2026. By leveraging its advanced 1-gamma node technology, Micron is boosting density and efficiency in ways that make it competitive with SK Hynix — the current leader — and Samsung.

This pivot has transformed Micron from just a memory supplier into a critical player in global AI infrastructure. Analysts cited in the report expect the HBM market to explode from $4 billion in 2023 to nearly $100 billion by 2030. If that projection holds, Micron has an enormous runway for growth while operating in a supply-constrained environment that supports pricing power.

The company’s financial performance already reflects that trend. As noted in the fiscal Q4 summary on page 5 , Micron reported 46% year-over-year revenue growth, hitting $11.3 billion. AI server demand now makes up 56% of total revenue, an enormous shift compared to just a few years ago. Hyperscalers — companies like Amazon, Microsoft, Meta, and Google — are stockpiling memory chips for next-gen cloud infrastructure. This is no longer about consumer PC cycles; it’s about a structural expansion of global compute.

Even more importantly, supply constraints are working in Micron’s favor. The article highlights that advanced HBM capacity is limited worldwide, meaning that unlike traditional DRAM cycles, the risk of oversupply is lower. Micron’s planned $13.8 billion in capital expenditures for 2025 targets expanding HBM output to represent 20% of DRAM sales by 2026. That’s a huge shift toward the highest-margin part of the market.

And it brings us to a major catalyst that moved the stock upward immediately after the selloff: a new report from UBS. According to page 5 of the document, UBS raised its global HBM demand forecasts to 17.3 billion gigabits in 2025 and 28 billion gigabits by 2026. This upward revision comes from stronger-than-expected procurement by Nvidia and AMD, especially for Nvidia’s next-generation Rubin GPU and AMD’s MI450 accelerators — both core components of future AI supercomputers.

Interestingly, UBS highlighted Samsung and SK Hynix as direct beneficiaries, but as the article explains, the read-through for Micron is equally strong. With U.S.-based HBM manufacturing, Micron qualifies for CHIPS Act subsidies, giving it a capital advantage while supply remains tight and demand continues to accelerate.

Now let’s zoom in on valuation, because this is where the disconnect becomes obvious. As stated in the quick-read summary on page 1 , Micron trades at a forward P/E of just 10, compared to a 25x industry average for the semiconductor sector. That’s despite Wall Street forecasting over 40% compound annual EPS growth through 2030. That level of growth with a P/E of 10 gives Micron a PEG ratio under 1, which is traditionally seen as a hallmark of an undervalued growth stock.

This is in sharp contrast to peers like Nvidia and AMD, which carry much higher valuations. That doesn’t mean those companies aren’t strong investments, but it does highlight how unusual Micron’s pricing is relative to its fundamentals. Put simply: Micron is growing like an AI company but priced like a commodity memory supplier. That mismatch is exactly what long-term investors look for.

The article also emphasizes Micron’s improving profitability. In the HBM segment, gross margins are dramatically higher — often 5x to 10x higher than standard DRAM, depending on model and configuration. The company already posted a 45% gross margin in Q4 and generated $3.7 billion in free cash flow for fiscal 2025. With more HBM sales coming, those numbers could increase.

So, why did the selloff happen? It wasn’t because of Micron’s fundamentals. It wasn’t because of competitive pressure. And it wasn’t because demand changed. Instead, it was due to broad fear that AI stocks were moving too far, too fast — combined with misinterpretation of Nvidia’s commentary. But when you look through the noise, the story is clear: Micron is positioned to benefit from the AI boom, not suffer from it.

That’s why the article concludes, on page 6 , that the sharp drop in Micron’s stock was a “textbook overreaction.” Even after a bounce, the company remains one of the most compelling risk-reward setups in the entire semiconductor space.

In an AI-dominated world, memory isn’t just another component — it’s the fuel that makes computation possible. And Micron controls a key part of that engine.

If the projections are right, and if the company executes on its HBM expansion, then the selloff will look less like a warning sign and more like a rare opportunity for investors who were paying attention.

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