JPMorgan Memory Chip Research: Why the Sell-Off Is About Expectations, Not Vanishing AI Demand

What Changed In The Memory Trade

The supplied event describes a sector that rose on AI infrastructure expectations and then corrected when investors started asking whether the numbers could catch up. Since the June high, major Asian memory stocks have fallen about 30%, much more than the roughly 11% decline in the Philadelphia Semiconductor Index over the same period.

JPMorgan’s finding is not that the market has turned broadly bearish on memory. The shift is narrower: investors now want evidence that cloud service provider spending, HBM pricing, and memory earnings can support the upside already embedded in expectations. That makes the trade less about AI demand headlines and more about verification in upcoming results and guidance.

The Capex Question Driving Sentiment

JPMorgan analyst Jay Kwon’s July 14 report, as described in the event, says roughly 70% of market sentiment is centered on one question: whether hyperscale cloud service providers can keep materially raising future capital expenditure plans.

Many investors currently expect global hyperscale cloud capex over the next 3 to 6 months to be revised higher to the 1 trillion to 1.5 trillion dollar range. If upcoming earnings reports do not confirm that optimism, memory stocks could remain under pressure even if AI infrastructure demand is still growing.

This is the key distinction for readers tracking OKX news or crypto-market adjacent technology sentiment: strong AI demand does not automatically mean every semiconductor expectation is achievable. When stocks already price in aggressive capex expansion, the risk shifts from demand existence to demand proof.

Why DRAM Momentum Looks Less Simple

The event identifies slowing DRAM price increases as a second pressure point. After earlier rounds of price hikes, JPMorgan notes that year-over-year and quarter-over-quarter DRAM price gains began slowing after the second quarter of 2026. That cooled expectations for continued rapid profit expansion.

JPMorgan still views DRAM as the tightest major memory category. The report says current DRAM supply can meet only about 50% to 60% of order demand, compared with about 70% to 80% for NAND. JPMorgan also expects tightness could last into 2027 to 2028 even as DRAM wafer capacity expands.

The practical read is balanced. DRAM supply-demand conditions may remain supportive, but the pace of price acceleration matters for earnings revisions. A tight market can still disappoint investors if prior expectations were even tighter.

LTA Contracts Improve Visibility, But Not All Doubts

Long-term agreements were one of the most discussed topics in JPMorgan’s investor meetings. The event says investor attitudes toward LTA structures have improved compared with several months earlier, with the focus moving from whether LTAs exist to how suppliers use them to secure core AI customers.

JPMorgan expects more than half of eventual contract volume to move into LTA frameworks. It also argues that LTAs do not necessarily cap future pricing upside, because some new orders can be repriced at higher levels and take-or-pay terms can improve order visibility.

The evidence limit is important: more than half of surveyed investors still remain cautious because Korean suppliers’ LTA coverage is not transparent and contract quality is hard to compare across companies. For investors, the label LTA is not enough; coverage, pricing terms, customer mix, and enforceability all matter.

HBM Pricing Is The Biggest Gap

If LTAs are about profit stability, HBM pricing is about profit upside. The supplied event says the largest divide between buy-side expectations and JPMorgan’s view is concentrated in HBM prices.

Many buy-side institutions expect 2027 HBM selling prices per GB to double year over year. JPMorgan is more cautious. It estimates the current HBM industry average selling price at about 1.8 dollars per GB, even slightly below some high-end server DRAM products, and expects 2027 HBM ASP to rise 25% to 30% year over year.

JPMorgan’s reasoning is that memory makers and cloud customers do not negotiate HBM in isolation. Pricing discussions consider overall profitability across DRAM, NAND, and HBM. Still, HBM is typically repriced annually, unlike traditional DRAM agreements that often run 3 to 5 years, so stronger-than-expected AI demand could leave room for later price increases.

Enterprise SSD Becomes A New Support Point

The report also highlights a split inside NAND demand. Consumer NAND demand has been revised down more than expected, while enterprise storage tied to AI data centers has been revised higher.

JPMorgan points to enterprise SSD demand from AI workloads, including KV Cache Offload use cases, as growing faster than earlier forecasts. The event says the supply chain expects 2027 enterprise SSD shipments to approach 500EB, nearly 50% year over year growth, with room for further upward revisions.

Investors also expect major North American cloud providers to pay 0.5 to 0.55 dollars per GB for enterprise SSDs. That expectation, if supported by actual customer behavior, could help NAND pricing. The limit is that this remains an expectation described in the event, not a guaranteed outcome.

Practical Checks For Readers

The first check is cloud capex confirmation. Upcoming cloud provider results and guidance matter because JPMorgan frames capex revisions as the dominant market variable. The issue is not only whether spending rises, but whether it rises enough to satisfy expectations already built into memory stocks.

The second check is HBM realized pricing. A market view based on 2027 HBM prices doubling is very different from JPMorgan’s 25% to 30% ASP increase estimate. That gap can drive large differences in profit forecasts.

The third check is contract detail. LTAs may improve earnings visibility, but investors still need clarity on coverage ratios, take-or-pay protections, repricing mechanisms, and whether contract quality differs materially across suppliers.

The fourth check is product mix. DRAM tightness, enterprise SSD strength, consumer NAND softness, and HBM repricing cycles can all point in different directions. A single memory-sector headline may hide very different profit drivers.

Risk Disclosure And OKX Context

This article is based only on the supplied event and brief. It does not verify JPMorgan’s report independently, does not add market prices beyond the event, and does not claim future stock, crypto, or platform outcomes.

Memory-chip volatility can affect broader AI and technology sentiment, which may be relevant for readers following OKX news and crypto-market risk appetite. That connection is contextual, not predictive. The event is about memory equities and AI infrastructure expectations, not a direct forecast for digital assets.

This is not financial advice. Market conditions can change quickly, and readers should evaluate whether any view fits their own objectives, risk tolerance, and constraints before making decisions. For readers who already use OKX, the supplied brief includes the registration context at OKX official destination with code 7nfg8123; no reward, ranking, or outcome is implied.