Why Micron Stock Can Continue to Soar

Why Micron Stock Can Continue to Soar


  • The data center boom and the push toward agentic AI are giving Micron a tailwind unlike any it’s ever experienced.

  • As with Nvidia in recent years, strong customer demand is lifting profit margins beyond belief.

  • 10 stocks we like better than Micron Technology ›

It took computer memory company Micron Technology (NASDAQ: MU) 20 years to regain the highs it had achieved during the dot-com bubble at the turn of the century. But since finally hitting a new all-time high again in 2021, Micron’s stock has continued to soar. It is up nearly 400% in just the last three years.

With the shares soaring to new highs, investors are clearly enthusiastic. But on Dec. 17, the company reported financial results for its fiscal first quarter of 2026. And it turns out that investors actually may not be enthusiastic enough.

A person sitting at a computer strikes a celebratory pose.
Image source: Getty Images.

The business trends are so favorable for the company right now that investors may be underappreciating its potential over the next three to five years. And it’s why Micron stock could still enjoy some more upside from here.

Investors tend to be cautious about buying Micron Technology stock because it’s a historically cyclical business. The chart below illustrates the fluctuations from 2005 to 2020.

MU Revenue (TTM) Chart
MU Revenue (TTM) data by YCharts; TTM = trailing 12 months.

If the boom-and-bust financials continue, then this entire discussion falls apart. However, a significant trend is currently underway that may finally help Micron’s stock break free from its historical cyclicality.

The secular trend is artificial intelligence (AI), of course. Investors have heard plenty about it in recent years, but there is a lot of work still to be done to build out the AI infrastructure needed to achieve the goals laid out by tech giants.

These major tech companies are building new data centers and filling them with graphics processing units (GPUs) from Nvidia. These GPUs supply the computing power needed to do useful things with AI. However, there is much more to the AI technology stack than just GPUs.

It has thus far centered on generative AI. In these applications, the models find generalities from large data sets and use them to create new things. But generative AI is starting to take a back seat to agentic AI. And this is fueling new hardware needs in data centers.

The shift to agentic AI — where it is working on behalf of the user in a more active and personalized way — requires more computer memory than before. And it’s why computer memory businesses have more demand than they can handle right now.

For the first quarter, Micron’s revenue was up a stunning 57% year over year and more than 20% just from the previous quarter. And this isn’t a one-off; it could be the new normal.


finance.yahoo.com
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