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Two AI Memory Stocks with Huge Potential

By: 
Lucas Downey
Wall Street buildings and trading charts

Markets haven’t moved much in August as volatility has hit, especially with AI. But the memory and storage trade isn’t slowing.

NVIDIA’s (NVDA) blowout earnings and guidance – expected 70% revenue growth in 2028 –prove the AI boom is still booming up and down the stack, from energy to data centers. Today I’ll show you two AI memory stocks with huge potential.

Relentless Institutional Support

This is very much a pick and axe story. As AI is deployed, more high-bandwidth memory is required. The winners are the ones receiving institutional support.

Right now, Micron (MU) is the poster child for relentless institutional support. The company builds memory for AI processors and sports a $1 trillion market capitalization.

Memory needs have only increased, and yet the stock has been range-bound:

Line chart displays Micron Technology, Inc. stock price and price-to-earnings (P/E) ratio from March to August, with stock price rising from around 400 to over 900 and P/E ratio fluctuating near 6. Key elements include blue line for stock price, purple line for P/E ratio, and labeled y-axes showing price up to 1,200 and P/E ratio up to 15.
MU shares have been in consolidation since June, knocking the forward price-earnings ratio down to 5.91X. Source: MoneyFlows.com

But that 5.91X forward P/E ratio is incredible. It’s one of the cheapest stocks in the market and is projected for huge per-share earnings growth – from $73.23 this year to almost $170 in 2028.

No wonder it’s been an institutional darling.

The blue bars below on the right highlight the non-stop outlier inflow signals responsible for MU’s amazing performance:

A dashboard-style chart showing institutional money flows for Micron Technology, Inc. (MU) with two graphs: one depicting inflows and outflows over time using green and blue bars, and another highlighting outlier inflows with similar color coding. Key metrics include a map score of 74.1, technical score of 70.6%, fundamental score of 79.2%, and a current price of $938.4, with both graphs showing a general upward trend from October 2020 to August 2021.
Institutional inflows have been a constant for MU, and now the average analyst price target sits at $1,571. Source: MoneyFlows.com

There is no mistaking when institutions get behind a stock – the share price flies higher.

A second AI memory stock with huge potential is Western Digital (WDC). It’s a $170 billion market cap company focused on mass storage like hard drives.

On its last earnings call, the company cited how physical AI, agentic AI, and synthetic data workloads will drive storage demand beyond 2027. Still, shares have stagnated:

Line chart showing Western Digital Corporation's stock price and price-to-earnings (P/E) ratio from March to August. Stock price peaks near 800 in June before declining to about 435, while P/E ratio rises to around 45 in June and falls to approximately 19.61 by August, with blue and purple lines representing price and P/E ratio respectively.
Consistent selling has pushed the P/E ratio for WDC to 19.6X – it was nearly 45X in June. Source: MoneyFlows.com

When you consider the latest fundamentals, shares not going higher is confusing.

In 2027, revenues are expected to hit $19.1 billion, with over $8 billion of that being profit. And in 2029, it’s $31.9 billion and $16.7 billion for revenue and net income, respectively.

Institutions often move before the masses. That seems to have happened with WDC:

Two line graphs display Western Digital Corporation's institutional money flows from August 26, 2016, to August 26, 2023, highlighting inflows, outflows, and outlier inflows with color-coded bars and lines. Both graphs show an overall upward trend with notable peaks and dips, accompanied by a MAP score of 69, technical score of 58.8%, and fundamental score of 83.4%, with a prior day stock price of $468.88.
WDC’s consensus analyst price target is $684, implying 45.9% upside from the current price of $469. Source: MoneyFlows.com

Big Money was ahead of the memory and storage bottleneck. The flows find the outliers early.

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Disclosure: at the time of publication, the author holds no positions in MU or WDC.

About the Author

Lucas Downeycontributor

Lucas is a well-versed equity investor and educator. He currently is co-founder of research and analytics firm, MAPsignals.com, which focuses on finding outlier stocks by following the Big Money.

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