Forget Micron. Every Dollar of AI Memory Spending Has to Pass Through These 2 Stocks First

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By Alex Sirois Published

Quick Read

  • Micron (MU) dominates AI memory headlines, but memory is a commodity-cyclical business vulnerable to pricing reversals from Samsung or SK Hynix capacity moves.

  • The analyst who called NVIDIA in 2010 just named his top 10 stocks and Advantest wasn't one of them. Get them here FREE.

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Forget Micron. Every Dollar of AI Memory Spending Has to Pass Through These 2 Stocks First

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Micron (NASDAQ:MU | MU Price Prediction) is the memory stock dominating every AI headline this quarter, with traders glued to high-bandwidth memory pricing and the next supply-cycle data point.

But here is what you should actually be watching.

Memory has always been a commodity-cyclical business. The pricing leverage powering Micron’s current run can reverse on a single Samsung or SK Hynix capacity announcement. Retirement-focused investors have seen this movie before: euphoric upcycle, crowded long, then a cycle turn that compresses multiples faster than estimates can catch up. Owning the memory winner directly means owning the cycle. Owning the equipment vendors that every memory winner must pay first means owning the toll road.

That is the case for the packaging and testing layer behind the AI memory boom, led by KLA (NASDAQ:KLAC) on process control and Advantest (OTC:ATEYY) on automated test.

Why KLA Is the Cleaner AI Trade

Three things separate KLA from the memory pure-plays.

First, the execution is mechanical. KLA just posted fiscal Q3 2026 revenue of $3.42 billion, up 11.5% year over year, with non-GAAP EPS of $9.40, beating the $9.17 consensus. That marks 12 consecutive quarterly EPS beats. Operating margin sits at 41.2%, return on equity at 95%, and profit margin at 35.7%. Equipment leaders with structural pricing power produce those margins across a full cycle.

Second, the capital return is built for income discipline. KLA just delivered its 17th consecutive annual dividend increase, lifting the quarterly payout to $2.30 per share beginning May 2026, and authorized an additional $7 billion stock repurchase. That is the kind of capital plan a board approves when forward visibility is high and order books are firm.

Third, the guidance points sequentially higher. Management guided fiscal Q4 revenue to $3.575 billion plus or minus $200 million and non-GAAP EPS to $9.87 plus or minus $1.00. CEO Rick Wallace framed KLA as “a key enabler of the AI ecosystem” across foundry/logic, memory, advanced packaging, and services. Every dollar of HBM capex flowing toward Micron has to clear KLA inspection tools first.

Advantest: The Other Toll Booth

If KLA inspects every wafer, Advantest tests every die. HBM stacks demand dramatically more test time per chip than legacy DRAM, which expands test intensity per AI accelerator and tightens supply at the handful of vendors that can serve it. Advantest is the dominant global supplier in automated test equipment for memory and logic. The market is beginning to price that structural shift in: ATEYY is up 56.99% year to date through May 8 and 328.24% over the past year. KLAC has run 54.03% year to date and 167.77% over the past year. Both are participating in the AI buildout while sitting upstream of the commodity tail risk that defines memory.

The Action

For investors researching the AI memory trade, the equipment layer collects regardless of which memory vendor wins the next pricing round. KLA offers a dividend streak, buyback firepower, and process-control monopoly economics, while Advantest provides direct exposure to the test-intensity explosion behind every HBM stack shipping into an AI accelerator.

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About the Author Alex Sirois →

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.

Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.

At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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