Memory Stocks Hit Hardest — Can Price-Driven Growth Last?

Memory was the worst group Monday: SK Hynix −7.60% to $175.63, Micron −5.25% to $924.03, SanDisk −4.98% to $1,551.99. They fell harder than semis because the valuations assume price increases keep coming. SanDisk's August 5 quarter showed the structure: revenue $8.97bn, +51% sequentially, with the company putting a third of that on volume and two-thirds on price, and non-GAAP gross margin up 6.2pp to 84.6%. TrendForce had NAND contract prices up 70–75% in the spring quarter, narrowing to 10–15% the next. Micron reports Sept 30. When two-thirds of growth is price, does the headline number hold?

avatarD1ane
14:48
📉 Memory stocks just took a beating. But I’m not convinced the bigger story is over. SK Hynix: -7.6% Micron: -5.25% SanDisk: -4.98% At first glance, this looks like a simple semiconductor selloff. But I think there’s something more important happening underneath the surface. The market has been willing to pay up for memory companies because AI infrastructure has created an unusually strong demand environment for high-performance memory and storage. The problem? A huge part of the recent earnings growth is coming from pricing. SanDisk’s latest quarter is a perfect example. Revenue jumped 51% sequentially, but roughly two-thirds of that increase was attributed to higher prices, with the remaining third coming from volume. That is an incredible setup when pricing is moving in the right direct
avatarKentzw
14:50
🧠 What if the biggest mistake investors are making with memory stocks is treating this like a normal semiconductor cycle? Memory stocks got hit hard, and on the surface, the move makes sense. SK Hynix dropped 7.6%. Micron fell 5.25%. SanDisk dropped 4.98%. But I think there’s a bigger question investors should be asking: Is AI changing the economics of the memory industry permanently — or are we simply watching another boom-and-bust cycle? For years, memory was one of the most brutally cyclical parts of semiconductors. Companies would add capacity → supply would increase → prices would fall → margins would collapse → production would get cut → prices would recover. Then the cycle would start again. AI potentially changes that equation. Modern AI infrastructure requires enormous amounts of
Memory prices still look supported, but the market is no longer a clean one-way trade: the bull case is that tight supply and AI-driven demand keep pricing elevated into 2027, while the bear case is that the sector has already priced in a lot of good news and can correct sharply on any sign of slower pricing or capex normalization. SanDisk’s recent pullback looks more like profit-taking after an extreme run than a fresh demand collapse, but it also shows how fragile sentiment is in this group.SanDisk fell about 3.5% recently after a huge rally, with commentary pointing to broad profit-taking across memory and storage rather than company-specific weakness. The sector has been volatile because investors are debating whether AI demand can keep overwhelming supply long enough to justify today’
avatarD1ane
11:41
Memory Stocks Hit Hardest — Can Price-Driven Growth Last? Memory stocks have taken a hit, and it raises an interesting question: how sustainable is the current price-driven growth? The memory market has been benefiting from strong demand, tight supply and rising prices. But when a stock runs hard on pricing power, the risk is that expectations can start getting ahead of the fundamentals. The big question for investors now is whether we’re seeing a temporary pricing cycle or the beginning of a longer-lasting structural shift. I’m watching for: 🔹 Whether memory prices can remain elevated 🔹 AI/data-center demand continuing to support consumption 🔹 Supply coming back into the market 🔹 Whether margins can hold if pricing cools 🔹 How much future growth is already priced into the stocks A pullbac
avatarMarktomarket
09-14 17:21

Hike Odds Near Nine in Ten: Is the Market Right to Look Past It?

On Friday the August CPI report landed, traders took the odds of a 25 basis point hike this week from 75 per cent to close to nine in ten, and $S&P 500(.SPX)$ closed 0.86 per cent higher all the same, ending a four-session slide; $Dow Jones(.DJI)$ closed 0.98 per cent higher, a gain of more than 500 points. The bet on higher rates got bigger. The buyers came back. August CPI rose 3.4 per cent year on year, level with July and in line with expectations; month on month it rose 0.4 per cent against 0.1 per cent in July. The gasoline index rose 3.9 per cent on the month and accounted for a third of the entire rise in goods prices. Core CPI eased to 2.4 per cent year on year
Hike Odds Near Nine in Ten: Is the Market Right to Look Past It?
avatarBen Tiger
09-14 20:31
Memory prices still look supported, but the market is no longer a clean one-way trade: the bull case is that tight supply and AI-driven demand keep pricing elevated into 2027, while the bear case is that the sector has already priced in a lot of good news and can correct sharply on any sign of slower pricing or capex normalization. SanDisk’s recent pullback looks more like profit-taking after an extreme run than a fresh demand collapse, but it also shows how fragile sentiment is in this group.SanDisk fell about 3.5% recently after a huge rally, with commentary pointing to broad profit-taking across memory and storage rather than company-specific weakness. The sector has been volatile because investors are debating whether AI demand can keep overwhelming supply long enough to justify today’
avatarTiger_comments
09-14 15:24

AI Leaders Are Starting to Say “Slow Down” — But Does That Really Mean AI CapEx Will Fall?

AI-linked stocks across Asia sold off sharply today. SoftBank, Kioxia, SK hynix, Samsung and TSMC all came under pressure as investors reacted to a growing debate around whether the industry should slow the pace of frontier AI development. Anthropic CEO Dario Amodei has called for more time to evaluate safety risks before pushing model capabilities much further, while other major AI leaders have also shown support for stronger safeguards. The market’s first reaction is understandable: if even the AI labs themselves are saying “slow down,” does that mean the massive spending on GPUs, HBM, networking and data centers is also about to cool? Tiger thinks the answer may be more complicated. What may slow is the pace of frontier model training, not necessarily the overall demand for AI compute.
AI Leaders Are Starting to Say “Slow Down” — But Does That Really Mean AI CapEx Will Fall?
avatarBen Tiger
09-14 16:17
Memory prices still look supported, but the market is no longer a clean one-way trade: the bull case is that tight supply and AI-driven demand keep pricing elevated into 2027, while the bear case is that the sector has already priced in a lot of good news and can correct sharply on any sign of slower pricing or capex normalization. SanDisk’s recent pullback looks more like profit-taking after an extreme run than a fresh demand collapse, but it also shows how fragile sentiment is in this group.SanDisk fell about 3.5% recently after a huge rally, with commentary pointing to broad profit-taking across memory and storage rather than company-specific weakness. The sector has been volatile because investors are debating whether AI demand can keep overwhelming supply long enough to justify today’
avatarLazyCat Invests
09-14 22:33

Tiger BOSS Debit Card Epic Rewards

Find out more here:Tiger BOSS Debit Card Epic Rewards Refer More Earn More!
Tiger BOSS Debit Card Epic Rewards
avatarBen Tiger
09-14 08:59
The current HBM shortage is still supporting a broader memory supercycle. Recent reports say DRAM and HBM pricing remain extremely tight, HBM supply is effectively sold out, and the imbalance may persist into 2027 or longer as AI demand keeps pulling capacity away from conventional memory . Can the supercycle last? The evidence says it can last longer than a normal memory upswing because this one is being driven by AI infrastructure, not just a temporary inventory correction. Several sources point to structural tightness through at least 2027, with meaningful easing not expected until new capacity ramps later . The best-positioned memory stocks are: Micron Technology (MU): The cleanest public-market exposure to HBM, with reports that its 2026 HBM output is sold out and pricing is locked in

Is the Memory Supercycle Intact? Market Volatility, Chip Sector Rotations, and Long-Term Tech Strategy

Recent market sessions wiped out key Friday gains across technology indexes, triggering intense debate over whether the semiconductor and memory super cycle is unravelling. In this article we seek to argue that recent price action does not signal structural demise, but rather a violent tactical correction driven by positioning congestion, interest rate recalibration, and a widening operational divergence within the hardware ecosystem. 1. Deconstructing the Pullback: Market Structure vs. Structural Fundamentals The rapid unwind of Friday’s sharp market rally over two subsequent trading sessions has unsettled tech investors, prompting widespread concern that the structural memory super cycle has peaked. To accurately evaluate this pullback, investors must distinguish between short-term marke
Is the Memory Supercycle Intact? Market Volatility, Chip Sector Rotations, and Long-Term Tech Strategy

Selling Puts Remains My Preferred Strategy:Will Tokyo Set the Market’s Direction This Week?

The market’s greatest challenge this week is that several seemingly independent trading themes are beginning to interact with one another: the yen has reached a six-month high; expectations of a Bank of Japan rate hike are building; global bond yields are broadly rising; signs are emerging of a rebound in China’s crude-oil demand; and expectations for Federal Reserve policy have once again been unsettled by comments from Donald Trump. When these variables move simultaneously, markets rarely deliver a clean, smooth one-way trend. Instead, they are more likely to enter a high-volatility, range-bound phase marked by repeated swings in both directions. The key variable to watch now is whether the yen can make a further near-term directional break. This matters not only for the U.S. dollar inde
Selling Puts Remains My Preferred Strategy:Will Tokyo Set the Market’s Direction This Week?

🎁 What the Tigers Say | Memory Breaks Away: 3 Tigers On The AI-Driven Supercycle

Hi Tigers 🐯, Welcome to "What the Tigers say." 👋 Early September 2026 delivered a striking split screen: the $S&P 500(.SPX)$ fell 0.38% to 7,718.60, the $Dow Jones(.DJI)$ dropped 0.51%, and the $NASDAQ(.IXIC)$ slipped 0.29% under macro headwinds, while the $Philadelphia Semiconductor Index(SOX)$ surged 3.38% on a memory supercycle led by $Micron Technology(MU)$, $SanDisk Corp.(SNDK)$, and
🎁 What the Tigers Say | Memory Breaks Away: 3 Tigers On The AI-Driven Supercycle
Wednesday, 9 September 2026 Escalating Middle East tensions and Brent crude approaching US$100 weighed on US stocks amid inflation and interest-rate concerns, while major AI chip and fibre deals continued to support the technology supply chain. S&P 500 fell 0.58% Dow Jones fell 1.18% Nasdaq fell 0.32% US 2-year Treasury yield rose approximately 3 basis points to 4.408%. US 10-year Treasury yield edged up approximately 2 basis points to 4.795%. News 1.) Middle East conflict spreads to energy facilities and oil tankers, pushing Brent towards US$100 * Houthi attacks on Saudi energy facilities heightened concerns over Middle Eastern oil supplies, pushing Brent crude towards US$98 intraday. * Iranian media reported that a US missile struck an Iranian oil tanker near Kharg Island, intensifyi
avatarzhingle
09-09
🔥 #Memory Supercycle Over? I Don’t Think So. Friday looked like a clean memory breakout — then today exposed the real battle. ⚔️ SK Hynix +4.83% 🚀 Micron -1.61% 📉 SanDisk -0.12% 😐 Same memory trade, completely different reactions. So what changed? 👉 The shortage hasn’t disappeared. It’s spreading. HBM is already tight, but now conventional DRAM + NAND are being pulled into the squeeze. Reports of Samsung and SK Hynix inventories falling below 10 days are hard to ignore. 🧨 But here’s the catch: Kioxia. If Kioxia is signalling that it wants to cool price increases, that challenges the cleanest bull thesis. Because in a shortage, the biggest enemy isn’t always weak demand — sometimes it’s your competitor deciding not to let prices run away. 👀 Still, I see this as a speed bump, not the end of
No, I would not say the memory supercycle is over. In fact, the latest data suggest we are still in the strong part of the cycle, although the risk/reward has changed dramatically because memory stocks have already run so far. My view: the supercycle is alive, but we’re entering the “late-cycle / valuation” phase The biggest evidence is supply-demand: * Gartner forecasts memory revenue of $837B in 2026, up enormously from 2025, with another increase to over $1T in 2027. It expects DRAM revenue to rise 246.6% and NAND 371.9% in 2026. * Omdia says AI demand is still exceeding available DRAM/HBM/NAND supply and expects bottlenecks to persist into 2027. * Recent industry commentary says DRAM and NAND remain undersupplied, potentially through 2027. * SK hynix itself describes 2026 as an HBM-led
The divergence in memory stocks—with SK Hynix rising +4.83% while Micron fell -1.61% and SanDisk dipped -0.12%—underlines a market torn between structural supply shortages and emerging competitive headwinds. Fundamental tightness remains compelling as supply deficits expand from High-Bandwidth Memory (HBM) into conventional DRAM and NAND, driving inventory levels at giants like SK Hynix and Samsung below ten days. However, the macro narrative faces friction after Kioxia denied merger discussions with SK Hynix and signaled intent to moderate price increases, introducing market share competition that threatens the industry's pricing power. Investors should monitor SK Hynix's low inventory metrics as a proxy for structural AI demand, while exercising caution with U.S. peers like Micron until
While Kioxia ruling out deeper SK Hynix ties and resisting further NAND price hikes introduces a temporary pricing headwind, it does not mean the structural memory supercycle is over. SK Hynix and Samsung’s finished inventories dropping below 10 days—coupled with HBM4 production cannibalizing standard DRAM wafer capacity—highlights unprecedented physical supply constraints across AI datacenters. Kioxia’s strategy to protect long-term market share may cap short-term spot price spikes in NAND, but severe structural tightness in high-bandwidth memory (HBM) and enterprise DRAM continues to underpin SK Hynix's structural earnings power.
The biggest change overnight is a sharper split between AI fundamentals and the broader market. The S&P 500 fell 0.58%, Dow 1.18% and Nasdaq 0.32% as Brent approached US$100 and Treasury yields stayed near 4.8%. Yet semiconductor names tied to custom AI infrastructure held up better, helped by a major new Amazon–Qualcomm agreement. Micron is already shipping HBM4 in volume for Nvidia Vera Rubin, delivering >2.8 TB/s bandwidth and >20% greater power efficiency than HBM3E. SK hynix meanwhile approved about ₩54T of new fab investment specifically to address growing AI-memory demand. HBM remains the strongest fundamental layer, but after recent sharp memory rallies coupled with imminent interest rate increases, better entry points key rather than Supercycle over. 
avatar苏36
09-09
I think all three views are valid, but the bigger story is that this is no longer simply an “AI rally” — it’s a memory allocation cycle. AI servers are absorbing scarce HBM and DRAM capacity because hyperscalers are willing to pay premium prices and commit to long-term supply. That creates a squeeze for traditional PC and smartphone memory, potentially keeping prices elevated. Between MU and SNDK, I favor MU for the longer-term fundamental story, while SNDK looks more attractive as a tactical trade after pullbacks. The biggest risk is valuation: if new capacity comes online faster than expected or AI capex slows, the cycle could reverse quickly. For now, I’d rather buy weakness than chase vertical moves. The key question is no longer whether AI needs memory, but how long supply can stay b