JPMorgan’s latest investor checks suggest the memory selloff is mainly a reset in expectations, not a confirmed downturn in industry demand. Investors are still focused on AI-driven memory growth, but they now want evidence that hyperscale cloud capital expenditure, HBM pricing, DRAM tightness, and enterprise SSD demand can support the profit assumptions already reflected in stock prices.
| Primary source | Wallstreetcn |
|---|---|
| Reported at | 2026-07-14T13:32:28.000Z |
| Topic | 股票 |
| Evidence limit | Reported facts are separated from interpretation; current prices and platform terms require independent verification. |
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Review OKXWhat Changed In The Market
The immediate pressure came after Asian memory stocks had already priced in a large AI infrastructure cycle. According to the supplied event brief, major Asian memory shares have corrected about 30% from their June highs, far more than the roughly 11% decline in the Philadelphia Semiconductor Index over the same period.
JPMorgan’s roadshow with more than 50 Hong Kong institutional investors found that sentiment has not turned broadly negative on the memory industry. The debate has moved from how fast the sector can grow to how long current or expected profit levels can hold up.
That distinction matters for readers tracking broader risk assets, including crypto. When AI-linked equity expectations are repriced, the pressure can reflect valuation discipline rather than the disappearance of technology demand.
The Core Issue Is Cloud Capex Verification
JPMorgan analyst Jay Kwon’s July 14 report framed one variable as central: whether hyperscale cloud service providers can keep raising future capital expenditure expectations. The brief says about 70% of market sentiment now revolves around that question.
Many investors expect global hyperscale cloud capex over the next three to six months to be revised up toward 1 trillion to 1.5 trillion dollars. If upcoming earnings reports fail to confirm that path, memory stocks may remain under pressure in the short term.
The practical reading is straightforward: AI demand can be real while the market still punishes stocks if the timing, size, or profitability of that demand fails to match optimistic forecasts.
Why DRAM And Samsung Expectations Matter
JPMorgan identified slowing DRAM price increases as one reason sentiment cooled. After earlier rounds of price hikes, year-over-year and quarter-over-quarter DRAM gains began to slow after the second quarter of 2026, reducing confidence in continued rapid profit expansion.
Samsung Electronics also affected sentiment. Before second-quarter results, the market had already lowered operating profit forecasts, which added pressure to investor confidence in the memory cycle.
This does not prove a sector reversal. It shows that investors are testing whether the current profit level is durable, especially after a period when AI data center expectations lifted total addressable market assumptions.
LTA Contracts Are More Stabilizer Than Ceiling
Long-term agreements, or LTAs, were one of the most discussed topics in JPMorgan’s investor meetings. Investor attitudes have improved compared with several months earlier, with the discussion shifting from whether LTAs exist to how manufacturers use them to bind core AI customers.
The caution is still meaningful. More than half of surveyed investors remained cautious, mainly because Korean manufacturers’ LTA coverage is not transparent and contract quality is hard to compare across companies.
JPMorgan expects more than half of future contract volume to eventually fall under LTA frameworks. The bank’s view is that LTAs do not necessarily cap future price upside because some new orders can be repriced later, take-or-pay terms add order certainty, and non-LTA products can still rise if supply tightens.
HBM Pricing Is The Biggest Disagreement
HBM pricing is where expectations diverge most sharply. The brief says many buy-side institutions expect 2027 HBM per-GB selling prices to roughly double year over year, supporting forecasts for further major earnings upgrades.
JPMorgan is more cautious. It estimates the current industry average HBM selling price at about 1.8 dollars per GB, even slightly below some high-end server DRAM products. It also argues that memory makers and cloud customers negotiate across DRAM, NAND, and HBM profitability rather than treating HBM as an isolated product.
JPMorgan’s base view is that 2027 HBM ASP growth of 25% to 30% year over year better fits industry conditions. Still, because HBM is generally repriced yearly, stronger-than-expected AI demand could leave manufacturers with room to raise prices later.
Supply Tightness And Enterprise SSD Demand
JPMorgan remains relatively positive on memory supply and demand. DRAM is described as the tightest product area, with supply meeting only about 50% to 60% of order demand. NAND supply coverage is higher, at about 70% to 80%.
The report expects DRAM tightness could persist into 2027 to 2028 even if wafer capacity expands over the next several years. That supports the argument that the correction is more about expectations than an immediate demand collapse.
Enterprise SSDs are another important support point. Consumer NAND demand has been revised down more than expected, but AI data centers are lifting enterprise SSD demand, including use cases such as KV Cache Offload. The supply chain expects 2027 enterprise SSD shipments to approach 500EB, with year-over-year growth near 50% and potential for further upward revision.
Practical Checks For Investors And Market Watchers
The first check is hyperscaler capex guidance. If major cloud providers continue to lift data center spending plans, the memory thesis gains support. If capex guidance stalls below optimistic expectations, the sector can remain vulnerable even if AI workloads keep growing.
The second check is HBM contract pricing. The key question is whether 2027 pricing moves closer to the buy-side expectation of a sharp increase or JPMorgan’s more cautious 25% to 30% ASP growth view.
The third check is whether DRAM tightness translates into durable margins. Supply meeting only 50% to 60% of demand is supportive, but equity markets will still demand proof through pricing, contract terms, and reported earnings.
Risk Disclosure And OKX Context
This article is analysis based only on the supplied JPMorgan-related event brief. It is not financial advice, does not consider any reader’s financial situation, and should not be used as a standalone basis for investment decisions. Memory stocks, semiconductor equities, and crypto markets can all move sharply when expectations change.
For readers using OKX to monitor crypto market conditions, the useful link is not a direct trade signal. It is macro context: AI infrastructure repricing can affect risk appetite, liquidity narratives, and technology-sector sentiment that sometimes spill into digital assets. OKX access link: OKX official destination. Code: 7nfg8123.
The evidence limit is important. The brief summarizes JPMorgan’s investor checks and estimates, but it does not provide full report tables, company-level forecasts, or independent confirmation from cloud providers. The next market test is whether earnings and capex commentary validate the expectations now under debate.
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Review OKXAffiliate link · Availability varies by region · No guaranteed outcomeQuestions readers ask
What is the direct reason memory stocks sold off?
Based on the supplied brief, the selloff was mainly caused by expectation resets around cloud capex, DRAM pricing momentum, Samsung earnings forecasts, and HBM profitability. It was not described as a broad collapse in memory demand.
Why is hyperscale cloud capex so important?
JPMorgan found that roughly 70% of market sentiment centers on whether hyperscale cloud service providers can keep raising future capital expenditure plans. If capex does not keep exceeding expectations, memory stocks may struggle to justify optimistic earnings assumptions.
Are long-term agreements good or bad for memory makers?
JPMorgan views LTAs more as a tool for earnings stability than as a cap on profit upside. The brief says take-or-pay terms can improve order certainty, while non-LTA products and repriced orders may still benefit if supply remains tight.
What is the biggest disagreement in the market?
HBM pricing is the largest expectation gap. Many buy-side investors expect 2027 HBM per-GB prices to roughly double year over year, while JPMorgan estimates 25% to 30% year-over-year ASP growth as more realistic.
Does the report suggest the memory cycle is over?
No. The supplied brief says JPMorgan sees the correction more as a market expectation revaluation than an industry downturn. DRAM supply remains tight, and enterprise SSD demand is being supported by AI data center growth.
How should crypto readers use this information?
Crypto readers can treat it as a technology-risk sentiment indicator, not as a trading signal. If AI infrastructure expectations cool, broader risk appetite can change, but the brief does not establish a direct causal forecast for crypto prices.