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The AI hardware trade hit another speed bump on Aug. 18 after a strong run lifted chip, memory, and networking stocks. Micron Technology fell about 7%, while Sandisk dropped roughly 9%. NVIDIA, Advanced Micro Devices, Intel, Marvell Technology, and Broadcom also finished lower.
The pullback did not come with evidence that AI demand had suddenly disappeared. Instead, investors faced a mix of rising Treasury yields, profit-taking after recent gains, and questions about whether expectations surrounding the AI boom have become so high that even fast-growing companies struggle to meet them.

The selling spread across several parts of the AI hardware chain. NVIDIA fell about 2.3% on Aug. 18, AMD lost 4.3%, Intel dropped 6.6%, Marvell declined 7.8%, and Broadcom fell 3.2%, according to market data reported that day.
Memory and storage names were among the hardest hit. Micron lost roughly 7% and Sandisk about 9%. Optical and networking companies also faced pressure, with Coherent, Ciena, and Lumentum each falling at least 9%.
That broad pattern matters because it suggests investors were reducing exposure across the AI hardware trade rather than reacting to a single company announcement. Semiconductor stocks had recently rebounded, giving investors with large gains another reason to lock in profits when the market backdrop became less favorable.
One important problem came from the bond market. The U.S. 30-year Treasury yield climbed above 5% to its highest level since 2007 as investors worried about inflation, government borrowing, and the supply of long-term debt.
Higher Treasury yields can create problems for growth stocks because investors compare expected future corporate profits with returns available from relatively safer government bonds. When bond yields rise, highly valued technology stocks can become less attractive even when their businesses remain strong.
The pressure was especially noticeable on Aug. 18. Reuters reported that semiconductor shares led the technology sector lower as long-term borrowing costs climbed. The broader market also fell, suggesting that the chip sell-off was partly linked to a wider repricing of risk rather than to company-specific weakness alone.

Another talking point involved Anthropic, one of the largest private AI companies. Its annual revenue run rate exceeded $65 billion by the end of July, up from about $47 billion in May and roughly $9 billion at the end of 2025.
Those numbers show extremely fast growth. However, some traders had apparently expected an even larger figure, creating an unusual situation where strong financial performance could still disappoint a market already pricing in enormous expansion across the AI industry.
That does not mean Anthropic caused the entire chip selloff. Bond yields, recent gains, and broader market conditions were also important. The report mattered because AI infrastructure suppliers depend partly on continued spending by companies building and operating increasingly large AI systems.
Micron’s recent financial results look very different from its falling share price on Aug. 18. The memory company reported fiscal third-quarter revenue of $41.46 billion, compared with $23.86 billion in the previous quarter and $9.30 billion a year earlier.
Micron also forecast fiscal fourth-quarter revenue of about $50 billion, plus or minus $1 billion. The company said AI is increasing demand for advanced memory and storage, and it has begun high-volume shipments of HBM4 for a lead customer’s platform.
The company has also changed how it manages the memory cycle. Micron has signed multiyear Strategic Customer Agreements that contain binding volume commitments. Fourteen agreements represent about $100 billion in minimum contracted revenue over their remaining terms.

Memory has historically been a cyclical business. When manufacturers produce too much supply, prices can fall quickly, hurting margins. Micron’s new agreements are designed to provide more predictable demand and pricing, rather than leaving as much revenue exposed to short-term market swings.
Micron said many of its larger agreements include price floors and ceilings, while some contain fixed prices or market-based pricing. The company expects roughly half or more of its revenue to eventually fall under strategic customer agreements once its planned contracts are completed.
Sandisk is making a similar shift in NAND flash. At its Aug. 13 investor day, the company said it had signed long-term agreements with eight customers covering about 50% of its expected bits in fiscal 2027 and roughly two-thirds in fiscal 2028.
The larger AI spending cycle also remains active. Cloud operators, AI developers, and other technology companies continue committing large amounts of money to computing infrastructure. That spending supports demand for accelerators, memory, networking equipment, and storage systems.
Micron’s June agreement with Anthropic illustrates the connection. The companies announced a partnership covering memory and storage architecture, supply planning, enterprise AI use, and a strategic investment by Micron. That ties the memory supplier directly to the infrastructure needs of a fast-growing AI developer.
Still, strong demand does not guarantee that semiconductor stocks rise every day. Stock prices reflect expectations about future growth, interest rates, and valuations. When investors have already priced in unusually strong results, even healthy demand can coexist with sharp short-term declines.

The recent selloff highlights an important difference between business performance and stock performance. A chipmaker can report rising sales and strong demand while its shares decline because investors expected even faster growth or decide its valuation has moved too far ahead.
High-growth semiconductor stocks can also experience larger moves when traders become more cautious. After strong rallies, profit-taking can spread rapidly across related companies as investors reduce positions and wait for new earnings reports or economic data.
For Micron and other AI hardware names, the next test will be whether earnings, customer spending, and memory pricing continue to support the expectations built into their stocks. Micron’s current results remain strong, but the Aug. 18 pullback showed that investors are becoming less willing to ignore valuation and macroeconomic risks.
Micron’s fundamentals give investors several concrete indicators to follow. Revenue growth, margins, HBM shipments, and performance under its multiyear customer agreements can indicate whether AI-related demand remains strong enough to support the company’s recent expansion.
Across the broader sector, investors will also watch capital spending by major AI companies and cloud providers. Slower infrastructure spending could pressure chip suppliers, while continued expansion would strengthen the case that the current hardware cycle still has room to run.
For now, the selloff looks more like a warning about elevated expectations than proof that the AI semiconductor boom is ending. The long-term demand story remains supported by company results, but rising yields and high valuations mean investors may react more sharply whenever new information falls short of aggressive forecasts.
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