Micron Technology (MU) Surges 5.3% to New Heights Amid Historic AI Memory Shortage
As Micron Technology, Inc. (MU) solidifies its position as a vital component of the global artificial intelligence infrastructure, its share
Quick overview
- Micron Technology's shares rose 5.30% to $420.95, driven by a 400% increase since early 2025 due to a severe memory supply shortage.
- The demand for High-Bandwidth Memory (HBM) is surging as generative AI transforms the memory chip market, with data centers projected to consume 70% of the world's memory supply by 2026.
- Micron is investing $200 billion in R&D and domestic production, including a $50 billion expansion in Idaho and a $100 billion megafab in New York.
- Despite the current boom, analysts warn of potential oversupply risks, and Micron must navigate rapid growth while avoiding overbuilding.
As Micron Technology, Inc. (MU) solidifies its position as a vital component of the global artificial intelligence infrastructure, its shares ended at $420.95 yesterday, representing a 5.30% increase. Since the beginning of 2025, the stock has soared more than 400%, propelled by what industry analysts describe as the worst memory supply shortage in more than 40 years.

The AI Gold Rush Redefines Memory Demand
Historically a cyclical laggard, generative AI’s ravenous appetite has revolutionized Micron. Massive amounts of High-Bandwidth Memory (HBM) are now needed for high-speed inference and large language models (LLMs). Data centers will use 70% of the world’s memory chip supply by 2026, up from about one-third in prior years, according to a recent industry analysis.
Traditional industries like PCs, smartphones, and automobiles are now in a desperate search for parts due to this “permanent reallocation” of capacity. IDC analysts caution that the PC market may contract by 9% this year as a result of the rapidly rising cost of RAM. However, this shortage is a huge advantage for Micron. The business reported the following for its fiscal first quarter, which ended in December 2025:
- $13.6 billion in revenue, a 57% increase from the previous year.
- The cloud memory gross margin increased from 51% to an astounding 66% in just one year.
- $5.24 billion is the net income (GAAP).
A $200 Billion Bet on American Soil
Micron is carrying out one of the most ambitious industrial expansions in American history in order to take advantage of this windfall. The business has allocated $200 billion for R&D and domestic production.
The $50 billion expansion of its headquarters in Boise, Idaho, is a key element. Two enormous fabrication factories (fabs) will be constructed as part of the project; ID1, the first, is anticipated to start producing silicon wafers by the middle of 2027. In addition, Micron has started construction on the largest private investment in New York ever, a $100 billion megafab complex close to Syracuse.
As the industry moves toward HBM4, the next generation of memory needed for future AI platforms from industry titans like NVIDIA and Google, CEO Sanjay Mehrotra stated that these expenditures are crucial.
Smart Money Doubling Down
Smart money is paying attention. Appaloosa Management, owned by billionaire David Tepper, recently revealed that it has acquired an additional 1 million shares of Micron, increasing its total holdings to 1.5 million shares, valued at about $428 million. Micron currently accounts for more than 6% of Tepper’s holdings, indicating a strong belief in the “AI infrastructure” concept.
The Road Ahead: Micron’s 5-Year Outlook
The memory industry is still cyclical by nature, even though the current boom is historic. The market is still pricing in the possibility of an eventual oversupply, as indicated by Micron’s forward price-to-earnings (P/E) ratio, which is a modest 13.
Micron may have a long-term structural edge over Asian competitors if the demand for AI continues until 2030 as many have predicted. The business must, however, balance growing quickly enough to satisfy the “insatiable” demand of the present with avoiding overbuilding for a potential softening of the AI bubble.
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