Market Trends in AI and Tech Firms

At the start of this century, the notion of a company achieving a market capitalization of $1 trillion probably seemed a bit far-fetched to many investors.

Now, over a dozen companies, including the AI chip giant Nvidia, make that claim. Currently, the total market capitalization in this sector exceeds $5 trillion. As long as AI doesn’t hit a significant roadblock and valuations don’t drop drastically, it’s likely that even more companies will hit that $1 trillion mark.

Remember Nvidia in 2009? A noteworthy signal is lighting up again. Back in 2009, a “double down” signal indicated potential for the lesser-known chipmaker Nvidia. Interestingly, a company currently 100 times smaller than Nvidia is now showing a similar “full conviction” signal.

In fact, only one individual seems to recognize it. Introducing this newly highlighted AI stock: companies like Meta Platforms, Tesla, and Broadcom are now part of the trillion-dollar club.

Understanding Micron’s Role in AI

Running a computer memory company like Micron Technology is quite an advantageous position to be in right now. As of late May, their stock has surged more than 227% this year alone—and an impressive 867% over the past year.

The primary driver behind the surge in shares for Micron and similar stocks is the skyrocketing demand for memory, crucial to the AI narrative. Chip manufacturers like Nvidia require memory that integrates directly onto chips—specifically, graphics processing units (GPUs), which are essential for large-scale language model training. Adequate memory is needed to feed data to these GPUs.

As Nvidia and other manufacturers progress in developing advanced GPUs and grow their clusters, their need for speedy data processing increases, resulting in a greater demand for memory. Micron produces dynamic random access memory (DRAM), which is widely used in older technologies, like computers and smartphones.

Recently, however, Micron has introduced more sophisticated memory products called high-bandwidth memory (HBM), which effectively stack several DRAM chips. This stacking minimizes the distance data must travel to reach the GPU, improving efficiency.

In March, Micron unveiled a new model, HBM4, featuring 36 GB of 12 Gi memory tailored explicitly for the Nvidia Vera Rubin GPU platform.

According to market research from Counterpoint, Micron commands 23% of the global DRAM market share—just behind Samsung at 36% and SK Hynix at 32%. In terms of the global HBM market, Micron’s share stands at 21%, trailing SK Hynix (57%) and Samsung (22%).

That said, Micron’s share has more than doubled since being just 9% at the end of 2024.

Demand is On the Rise

During Micron’s second-quarter earnings call for fiscal 2026 in March, CEO Sanjay Mehrotra informed analysts that data center demand for DRAM and NAND flash memory—another product from Micron—is anticipated to represent 50% of the total addressable market for the first time this year.

Moreover, Mehrotra mentioned that demand for both types of memory will be limited by supply this year, but DRAM shipments are expected to grow slightly above the previous forecasts, in the low 20th percentile.

UBS analyst Timothy Arcuri recently surprised the market by significantly increasing his price target for Micron from $535 per share all the way up to an astonishing $1,625, even though it’s currently trading around $900.

Acuri’s note indicated that they foresee DRAM supplies being limited until at least mid-2028, with NAND supplies constrained until the end of 2027.

“We believe the market will start to set more ‘normal’ multiples for stock prices. As we gain insight into the structural changes AI has brought across the memory sector, we expect continued appreciation,” Arcuri pointed out.

How Should Investors Approach These Stocks?

Currently, Micron’s price-to-earnings ratio stands at nearly 42.5 times, significantly higher than its 10-year average of around 22 times.

Yet, ten years ago, AI wasn’t as prominent in discussions, and Micron and its competitors likely never experienced demand at this scale. It feels like a new era for this subsector, thus justifying a stock trading at a multiple higher than its long-term average.

However, it’s worth noting that Micron’s valuation is approaching more typical levels, especially linked to AI trading dynamics, making it susceptible should capital spending related to AI take a downturn.

Because of this, I think it might not be wise to make a significant investment in Micron just yet. Owning shares could be beneficial, yet beginning with a smaller position and gradually increasing through dollar-cost averaging might be the more prudent strategy.

Is Now the Right Time to Buy Micron Technology Stock?

Before deciding to invest in Micron Technology, here are some things to keep in mind:

The analyst team from Motley Fool Stock Advisor has highlighted what they consider the 10 best stocks for potential returns in the coming years—Micron isn’t included in that list.

Reflecting on historic possibilities, if one had invested $1,000 in Netflix when it was first recommended on December 17, 2004, it would have grown to about $463,900. Similarly, an investment in Nvidia suggested on April 15, 2005, would now be worth around $1,294,401.

It’s crucial to note that the Stock Advisor has an average return of 978%, remarkably outperforming the S&P 500 at 211%. So, make sure not to overlook their latest top 10 list for your investing journey.