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What's behind the volatility in memory chip stocks this week?
News broke Wednesday that Meta Platforms plans to start a cloud computing business, prompting speculation that the first signs of waning demand for computing capacity may be starting to appear on the horizon. Chipmaking stocks were down across the board on Wednesday, though they rebounded a bit in
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Micron gives Wall Street reason to rethink AI winners
Micron Technology (MU) just issued a different kind of artificial intelligence caution to investors. The dismal earnings picture isn't the problem. It is not because demand is collapsing. It does not even arise from an obvious shift in the memory-chip cycle. Instead, the warning comes from the
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Morningstar drops bombshell warning on AI stocks
AI chip stocks have been the defining trade of 2026. Memory makers in particular have handed investors gains that most people only dream about. Now, Morningstar (MORN), one of Wall Street's most respected research houses, is telling those same investors to get ready for a sharp move in the other
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Is Micron a good long-term investment? What buy-and-hold investors should know
You'd have to be on a field trip to the Strait of Hormuz to have missed Micron Technology (MU)'s latest roller coaster ride. In the lead-up to its June 24, 2026, earnings report, MU shares dropped 13% on concerns that the AI-driven memory boom might be peaking. But after the company reported
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Wall Street flees software plays for triple-digit chipmaker boom
Software used to be the safe bet in artificial intelligence. Buy the companies writing the code, sit back, and let subscription revenue do the work. That trade has come undone. While the iShares Expanded Tech-Software Sector ETF sits about 20% below its record high, the chipmakers building the AI
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Citi sends warning on semiconductor and hyperscaler stocks
Semiconductor stocks have been the most crowded corner of the AI trade in 2026. Memory company margins are at records, and chip ETFs have rallied sharply. The consensus view on Wall Street has been straightforward: As long as the biggest cloud platforms keep spending on AI infrastructure, demand
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Memory chip stocks delivered exceptional gains in 2026, with Micron climbing over 300% as AI infrastructure investments drove unprecedented demand for high-bandwidth memory. But respected research firm Morningstar now warns investors to prepare for sharp corrections of 20-30% as supply begins catching up with demand. The warning highlights a critical inflection point in the AI hardware supply chain.
Memory chips have emerged as the breakout trade of 2026, delivering gains that redefined expectations across semiconductor stocks. Micron climbed approximately 304% year-to-date, while SanDisk surged roughly 857% and Western Digital rose about 271%, according to data compiled by 24/7 Wall St
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. The rally reflects a fundamental shift in the memory market driven by AI-driven demand for data center infrastructure, with AI systems requiring massive amounts of memory to store and transport data1
.The numbers behind Micron's performance illustrate the scale of this transformation. The company reported fiscal third-quarter revenue of $41.46 billion, representing 346% year-over-year growth
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. Data center revenue alone exceeded $25 billion for the quarter, putting the firm on an annualized run rate above $100 billion2
. Micron's consolidated gross margin reached a record 84.9%, up 10 percentage points from the previous quarter, as DRAM pricing increased in the low-60% range and NAND prices climbed in the mid-80% range sequentially2
.High-bandwidth memory has become the critical battleground in AI hardware. HBM costs $10 to $20 per gigabyte, and on premium AI accelerators like the NVIDIA B200, the HBM alone costs $2,400
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. This specialized memory works by stacking layers of DRAM vertically and connecting them closely to processors, allowing data to travel shorter distances at unprecedented speeds. Unlike ordinary PC memory, HBM is difficult to manufacture, with multiple DRAM dies layered vertically and linked by thousands of microscopic data channels4
.The supply and demand dynamics have given memory manufacturers exceptional pricing power. Micron signed 16 strategic customer contracts, with remaining performance obligations around $100 billion based on minimum committed volumes and minimum pricing
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. The company also reported $22 billion in consumer deposits and related financial obligations, including approximately $18 billion in cash deposits, demonstrating that buyers want to lock in memory supply years in advance2
. Chief Business Officer Sumit Sadana confirmed that demand for high-bandwidth memory chips remains well above what Micron can supply through 2027 and even 2028, with the HBM market expected to top $100 billion in 20275
.Despite the strong fundamentals, Morningstar director of research Lorraine Tan delivered a stark warning to investors. According to her Bloomberg TV appearance, a large portion of AI chip stocks her team covers could give back 20% to 30% before they look attractive again
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. Tan emphasized that the call reflects stretched prices rather than doubts about AI demand, signaling a reset in valuations rather than a collapse in underlying businesses. Her argument centers on supply, noting that capacity announcements from Samsung and SK Hynix should eventually cool the pricing that has powered memory profits3
.The stock volatility became evident when Micron shares tanked despite reporting solid June profits and a bullish outlook
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. 22v Research strategist Jeff Jacobson noted that "when strong momentum stocks can't rally any further on good news, then you must take notice if long these names since the price momentum factor has become a very crowded/consensus trade"2
. This pattern suggests investors have priced in significant future growth, leaving memory chips exposed to disappointment if results fail to exceed already-elevated expectations.The rotation from software to silicon has reshaped technology investing in 2026. While the iShares Expanded Tech-Software Sector ETF sits approximately 20% below its record high, chipmakers building AI data centers posted exceptional gains
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. Intel stock surged 216% in the June quarter, adding roughly $480 billion in value, while AMD added about $615 billion after nearly tripling5
. Networking chipmaker Marvell climbed about 200%, and Arm rose 134%, with the broader VanEck Semiconductor ETF gaining 71% in the quarter—its best three months since the fund launched in 20005
.Barclays analyst Anshul Gupta explained that the rotation out of AI hyperscalers and into AI enablers pushed investor enthusiasm into semiconductors, fueling dramatic rallies
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. Even NVIDIA, which dominates the AI accelerator conversation, only gained 15% in the quarter—modest compared to memory chip peers5
. This shift reflects Wall Street's recognition that everyone building AI needs the same scarce ingredients, and chipmakers benefit from a surplus of demand5
.Related Stories
A separate development contributing to midweek chip stock volatility involves efficiency gains in AI inference capabilities. Frontier model OpenAI made a deal with chipmaker Cerebras in January to use the company's new AI chips in its inference stack, with OpenAI engineers now seeing greatly reduced inference costs, according to a report in The Information
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. Cerebras' efficiency-boosting chips use SRAM, a more plentiful type of memory than the high-bandwidth DRAM produced by SK Hynix, Samsung, and Micron1
.Paul Meeks, head of technology research at Freedom Capital Markets, explained that "if these guys really make a splash in the industry, then Micron gets hurt"
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. Analyst Bob O'Donnell at Technalysis Research noted significantly more diversity in the types of silicon being used for inference, with all options appearing viable because demand remains so high1
. This technological evolution introduces uncertainty about whether current memory architectures will maintain their dominance as AI systems optimize for efficiency.For those evaluating Micron and other memory chips as long-term investments, several indicators warrant attention. DRAM prices remain the biggest indicator of profitability, as data center and agentic AI models require massive amounts of DRAM, allowing manufacturers to raise prices and amplify gross margins
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. Inventory trends provide early signals of demand changes, with capital expenditure updates from Alphabet, Amazon, Meta Platforms, and Microsoft—among the world's largest HBM consumers—offering valuable insights4
.Competitor actions also matter significantly. Samsung and SK Hynix production increases will eventually pressure prices, making capacity announcements critical to watch
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. Micron CFO Mark Murphy told analysts that free cash flow is expected to top $30 billion next quarter, with essentially all of it returned to shareholders through buybacks and dividends5
. Out of 30 analysts covering Micron stock, 29 recommend "buy" and one recommends "hold," with an average price target of $1,564 indicating 52% upside from current levels5
. However, Morningstar's warning and recent price action suggest investors should prepare for increased volatility as the memory market transitions from shortage to more balanced supply and demand conditions.🟡,Summarized by
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