Sandisk leads the decline in AI hardware pullback: Why have memory stocks become weak spots?

AI trading did not collapse as most people expected. It didn\'t start with GPU or server original equipment manufacturers, but started with memory.

SanDisk\'s NAND business bears the brunt, becoming the focus of sellers when selling chips and wafer-related assets. Micron fell closely behind. This round of decline did not come out of thin air-it happened just after the South Korean stock market violently shook and hit the global semiconductor market.

The following will analyze: Why did memory suddenly become a weak link in AI hardware? What has changed under the surface? And how to control risks when fluctuations in this sector intensify?

Specific details

Global incentives: On June 23, South Korea\'s KOSPI index plunged nearly 10%, triggering a circuit breaker; Samsung Electronics and SK Hynix fell more than 12% respectively that day. U.S. markets followed up: Sandis-related stocks and Micron were reported to have fallen more than 13% at the close, and memory sell-off spread from Seoul to the U.S. market. The paradox between performance and the market: Micron announced record third-quarter results: revenue of US$41.46 billion, non-GAAP gross margin of approximately 84.9%, and non-GAAP earnings per share of US$25.11, reflecting the strong demand for AI memory. Reduced risks but limited caps: Micron has signed 16 multi-year strategic customer agreements covering approximately 20% of DRAM and approximately one-third of NAND production capacity, with a minimum revenue guarantee of approximately US$100 billion, and customer commitment of approximately US$22 billion.

Why did memory crash first?

Memory\'s pricing power is highly elastic, inventories fluctuate rapidly, and investors have become too crowded after a previous round of strong rises. Cryptocurrency spillover effect: Hardware shocks could tighten GPU supply and hit the AI token narrative; miners turning to AI custody business bear the brunt.

What really broke down in the AI hardware deal?

It\'s not that there\'s a problem with the requirements. The construction of AI data centers is still advancing at full speed. What has really changed is the market\'s tolerance for long-term commitments made by a link in the supply chain whose core destiny is price per bit.

The trigger lies overseas. The South Korean market almost suffered a heavy blow. The KOSPI index plunged nearly 10% in a single day and trading was suspended. Samsung and SK Hynix both fell more than 12% on the day, dealing a heavy blow to the entire memory sector. U.S. traders did not wait for an explanation. According to reports that day, Sandisic-related exposure and Micron closed down more than 13%, although the fundamental story still looks strong on paper.

This is the signal. When \"paper strength\" no longer supports prices, you face cyclical mathematics, not just growth mathematics.

Memory economics in the AI era

People often confuse memory, but AI divides it into three realities: general purpose DRAM, high-bandwidth memory (HBM) for accelerators, and NAND for storage. They are similar, but the melodies are different.

Concise comparison of DRAM, HBM and NAND

DRAM: Located in CPU/GPU system memory. AI sensitivity is medium to high (AI servers require a large amount of DRAM). Main risks: cyclical fluctuations and compression of average selling prices when supply is loose. HBM: Stacked package located near the GPU. AI is extremely sensitive (bottleneck of AI accelerators). Main risks: yield and capacity constraints; excessive customer concentration. NAND: Used for persistent storage (SSD). AI sensitivity is indirect (AI workloads need to store data, but are more resilient). Main risks: Intense competition; rapid price discovery; sharp fluctuations in inventories.

HBM is currently the highlight, but it is also the narrowest part of the funnel. If yields fluctuate or a single customer delays orders, this tight market may quickly reverse. DRAM is in the middle: indispensable, scalable, and extremely cyclical. NAND is the area with the greatest flexibility-sales will soar when prices are lowered, and demand may be temporarily suspended when prices are raised.

Why is elasticity more important than ever?

AI buyers cannot scale back accelerator purchases, but they can adjust memory configurations, defer storage purchases, or hold inventory for longer periods of time. This optionality makes memory the preferred sector for traders to express doubts when the macro environment is turbulent.

Why are SanDisk and its similar stocks bearing the brunt?

When markets are crowded, funds escape through the narrowest doors. NAND is this door.

Fragile pricing power

Even after months of strong pricing, NAND producers know how quickly discounts will come back. Just one quarter of channel boycotts, or one large customer consuming inventory, could disrupt the situation. That\'s why SanDisk-synonymous with high NAND exposure in many portfolios-became a target when the sell-off began.

Inventory and wafer start-up volumes remain the dominant factors

There is a difficult balance between chasing current AI needs and avoiding over-building for the future. Wafer starts increased slightly, yields improved, and contract buyers suddenly had more options. After traders smell this turning point, they will not wait for confirmation from the earnings conference call, but will sell first.

Professional tip: Pay attention to the comments on \"inventory days\" and \"wafer startup discipline\" in the earnings conference call. When those words soften, pricing usually weakens over the next quarter or two.

Micron\'s record quarter and paradox

Here\'s a reversal that confuses many people: Micron released amazing data amid the storm. According to an analysis of Micron\'s fiscal third quarter released on June 24, 2026, the company\'s revenue reached US$41.46 billion, non-GAAP gross margin was approximately 84.9%, and non-GAAP diluted earnings per share was US$25.11-the report called this \"unprecedented AI-driven memory demand.\"

Micron had more than one good quarter. It also disclosed 16 multi-year strategic customer agreements covering approximately 20% of DRAM and approximately one-third of NAND production capacity, with minimum revenue of approximately $100 billion and customer cash deposits or financial commitments of approximately $22 billion.

So why is the stock price still falling? Because the market is pricing the next turning point, not the last financial report. A multi-year agreement reduces volume risk, but could also limit upside if spot prices continue to rise. Think of strategic customer agreements as fixed-rate insurance: it\'s great when the storm hits, but not so great if the sun stays shining and you lock in past rates.

Another nuance: Those customer deposits are votes of confidence, but they also show how concentrated the AI memory buyer base is. Concentration means headline risk. A single purchase adjustment can transfer a large amount of revenue between different points in time.

The place where the crack appeared on June 23

The disk illustrates the problem. The sudden plunge and meltdown in South Korea\'s stock market created an atmosphere that \"something\'s wrong\" in the global semiconductor market. The sell-off hit Samsung and SK Hynix, the world\'s two major memory giants, first and most violently. The U.S. market then took over. The report pointed out that Micron and SanDisk related stocks fell more than 13% at the close, a typical beta day for any asset related to chips and stackings.

What is the market (likely) pricing?

• Memory profit margins have reached or are close to peak, and the tolerance space is zero.
• There is a risk that HBM\'s production capacity news may exceed its actual ability to perform in the near future.
• Channel inventory reconstruction may turn into a digestive period at the end of 2026.
• Positions: Funds with over-allocation AI supply chains are looking for the fastest way to reduce total exposure.

The knock-on effect on cryptocurrencies and AI-related assets

Why should the cryptocurrency space care? Because hardware shocks penetrate into our corner deeper than you think.

GPU supply, miners and AI sideline

Many Bitcoin miners and Web3 infrastructure companies now run AI sideline to increase revenue. If memory bottlenecks delay accelerator shipments or increase overall system costs, the expansion roadmap will be delayed. Custody rates can fluctuate, affecting financial decisions and token risk.

Trading behavior of AI-themed tokens

AI-themed tokens usually rise sharply when hardware production news is optimistic and decline when supply is tight or pricing power is shaky. It\'s not a one-on-one relationship, but on days like June 23, the correlation shows. Pay attention to this relationship when configuring positions around the catalyst window.

Risk warning: Tokens are not claims on GPU racks or memory inventory. They trade at the speed of the narrative. Prices may deviate from fundamentals and liquidity may quickly disappear. Manage scale and holding time accordingly.

Layout around memory cycles without getting cut

The following is not investment advice, but a checklist I posted on the screen when the memory sector fluctuates violently.

A simple cycle checklist

• Inventory days: Are customers consuming inventory or rebuilding? Inventory easing usually precedes price fluctuations.
• Contract price and spot price: When spot prices start to fall below contract prices, pressure on margins is not far behind.
• Wafer starts and yields: Capacity expansion combined with improved yields equals unexpected supply.
• Customer concentration: The pace of decisions by two or three ultra-large-scale cloud service providers means that the order book fluctuates.
• Capital expenditure guidance: Aggressive capital expenditure during the strong late period of the cycle could become tomorrow\'s oversupply.
• Strategic customer agreement update: Increased deposits can buffer downside risks; a flat fixed price in the agreement may limit upside space.

Practical hedging and sentiment checking

• Timing exposure: Memory cycles are quarterly rather than weekly. Configure positions based on this clock.
• Dispersion across sectors: DRAM, HBM and NAND will not peak in the same week. Diversified exposure reduces portfolio beta.
• Respect the opening: When South Korea sets the tone, U.S. semiconductors usually follow. If you are not early, wait patiently.
• Accept the mathematics of retracement: If profit margins look perfect, they may be peaking. Prices will smell this signal before guidance.

Professional tip: Don\'t anchor a hero season. In semiconductors, the tops tend to appear in the month when the best data are released.

What to focus on in the next quarter

There are no universal indicators, but a few data points will help you stay on the right side of the curve.

• HBM yields and product mix: Any improvement will expand supply; any setback will immediately tighten pricing.
• DRAM and NAND contract price indices: The first flat signal is more important than a week of spot noise.
• Hyperscale Cloud Service Providers Comment: The pace of capital expenditures tells you how much pressure they will put on memory providers before the end of the year.
• South Korea as a leading indicator: Shares of Samsung and SK Hynix usually lead the U.S. market\'s sentiment about memory.
• Strategic customer agreement disclosure: Focus on changes in supplier updates regarding quantity coverage, price range and deposit size.
• OEM and distributor inventories: Rising channel inventories and firm prices are your storm signals.

FAQs

Has the demand for AI servers really dropped? Or is it just a position adjustment?

Most signs point to position corrections and cyclical anxiety rather than a sudden collapse in demand. Large and ultra-large cloud service providers still plan high AI capital expenditures. What has changed is the market\'s tolerance for perfect profit margins and near-term inventory digestion risks.

Why did memory stocks fall the same week Micron reported a record quarter?

The market is pricing for the next twelve months, not the past three months. Micron\'s record-breaking fiscal third quarter and strong margins highlighted demand, but investors were worried about whether profitability peaked and whether a multi-year agreement would limit upside when spot prices weaken.

What exactly is a strategic customer agreement?

They are multi-year supply agreements that set quantity commitments and usually define price ranges. Taking Micron as an example, the company disclosed 16 strategic customer agreements covering part of its DRAM and NAND production capacity with large customer deposits, which reduces revenue risk, but will also limit unexpected upside if the cycle continues to strengthen.

Is SanDisk an Independent Stock?

Today, SanDisk is Western Digital\'s main NAND brand, but market and media shorthand sometimes use \"SanDisk\" to refer to high NAND exposure. Reports on June 23 emphasized that Sandis-related stocks fell in sync with Micron.

What is the fastest sign of weakening memory pricing?

This is your early warning when spot prices remain below contract prices for weeks and channel inventories start to rise. At the same time, pay attention to whether the wording on wafer start-ups and disciplines on the earnings conference call softens.

What impact does this have on cryptocurrency miners and AI-themed Web3 projects?

If memory constraints cause delays in accelerator shipments or increase system costs, miners providing AI hosting services may face margin pressures and slowing expansion. AI-themed tokens are also affected by hardware production sentiment; on sell-off days, correlations usually soar.

Could geopolitics or export controls make the situation worse?

Possibly. Memory supply chains are intertwined around the world. Any new export restrictions or licensing frictions could increase volatility, especially if HBM supplies are concentrated and the buyer base is small.