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Micron Stock Faces Tight Supply as AI Demand Accelerates

Micron Technology (MU) has been one of the hottest artificial intelligence (AI) stocks over the last 18 months. Since the start of 2025, MU stock has returned more than 1,000% for shareholders and now trades at a market capitalization of $1.05 trillion.

The memory maker recently posted record results, and management keeps repeating the same message: Demand is outrunning supply, and the gap isn’t closing anytime soon. For everyday investors watching MU stock climb, the question is simple. Is this AI-driven memory boom built to last, or is it just another spike in a business known for wild swings? Recent earnings calls, investor conferences, and company statements suggest this time could be different.

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Micron Posts Record Q3 Numbers

In the fiscal third quarter of 2026, Micron reported revenue of $41.5 billion, up 346% year-over-year (YOY), marking the company’s fifth consecutive quarterly revenue record. Data-center sales topped $25 billion for the period, putting Micron on an annualized run rate above $100 billion. Gross margin came in at 84.9%, more than double what it was a year ago.

CFO Mark Murphy told investors on the earnings call that Micron expects fiscal Q4 revenue of about $50 billion, with EPS near $31. 

What sets this cycle apart from past ones is how Micron is locking in demand. The company has signed 16 strategic customer agreements, or SCAs, with most running five years through the end of calendar 2030. These are take-or-pay contracts, meaning customers cannot walk away if supply tightens or loosens. CEO Sanjay Mehrotra said on the June earnings call that these agreements could eventually cover roughly half of Micron’s total revenue.

Customers have also handed over about $22 billion in cash deposits and related commitments tied to these deals. Speaking to Jim Cramer on CNBC’s “Mad Money,” Mehrotra explained why the mindset has shifted. 

The CEO said that AI has fundamentally changed the memory business, an industry long known for boom-and-bust cycles. “Today there is no AI without memory,” Mehrotra said. He added that AI systems increasingly need memory that performs faster and uses less power, which has changed how much that memory is worth.

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