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Home.forex news reportHow Much Higher Can Micron Stock Go?

How Much Higher Can Micron Stock Go?

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The semiconductor industry sits at the heart of the artificial intelligence (AI) boom — without advanced chips, this revolutionary software wouldn’t be possible. But more than just processing power is required.

Micron Technology (NASDAQ: MU) is a leading supplier of memory and storage chips, not only for data centers (where most AI development happens), but also for personal computers and smartphones, where AI workloads are gradually migrating.

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It was one of the best-performing stocks in the semiconductor space in 2025, with a gain of 239%. It’s grabbing headlines yet again in 2026 because it has already risen a further 29% in January alone. The question investors have to ask themselves now, though, is how much longer this incredible rally can run.

A digital rendering of computer chips, with one labelled AI.
Image source: Getty Images.

Graphics processing units (GPUs) like those supplied by Nvidia are the primary parallel processing chips used to power AI development and inference. High-bandwidth memory (HBM) in close proximity to those chips unlocks maximum processing speeds from large GPU clusters by keeping the data flowing to them seamlessly. Without it, GPUs would have to constantly pause in their workloads while they wait to receive more information, which is far from ideal with AI software.

Micron’s HBM3E data center chip provides 50% more capacity than the competition while consuming 30% less energy. As a result, both Nvidia and Advanced Micro Devices are embedding it in their latest GPUs.

And Micron is preparing to ramp up production of its new HBM4E chip, which it says will improve capacity and energy efficiency by a further 60% and 20%, respectively. The company’s entire 2026 supply of those chips is already sold out.

Micron CEO Sanjay Mehrotra predicts the market for data center HBM will triple in value by 2028, to over $100 billion annually. This is the company’s biggest financial opportunity, but there is also a lot of money to be made in memory chips for consumer devices as a greater share of AI workloads gradually shifts to smartphones and personal computers.

During Micron’s fiscal 2026 first quarter, which ended Nov. 27, 59% of its customers’ flagship smartphones needed at least 12 gigabytes of memory to support AI applications. That percentage was more than twice what it was in the prior-year period.

Micron’s total revenue soared 56% year over year to a record $13.6 billion during its fiscal first quarter. The company’s cloud memory segment (where it reports its data center HBM sales) was responsible for about $5.3 billion of that — twice as much revenue as in the prior-year period.



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