JPMorgan Memory Chip Check: Why the Selloff Is About Earnings Proof, Not Demand Collapse

Direct Market Read

JPMorgan’s latest field checks point to a market that has not abandoned the memory cycle, but has become less willing to pay for unverified upside. The reported pullback of roughly 30% in major Asian memory stocks since June contrasts with an approximately 11% decline in the Philadelphia Semiconductor Index over the same period, showing that memory shares have absorbed a sharper expectation reset.

The direct answer is that the selloff is about proof. Investors are asking whether cloud capital expenditure can keep rising faster than expected, whether HBM pricing can match bullish forecasts, and whether current profitability can last long enough to support the prior share-price rally.

What Investors Are Testing

JPMorgan identified three main sources of pressure behind the correction. First, AI data center expectations may have moved ahead of actual hyperscale cloud spending plans. Second, DRAM price increases have started to slow after earlier gains. Third, Samsung Electronics profit expectations were reportedly cut before second-quarter results, adding pressure to sentiment.

The most important variable is cloud capex. JPMorgan said about 70% of market sentiment now revolves around whether hyperscale cloud service provider spending can continue to be revised sharply higher. Many investors cited in the report expect global hyperscaler capex over the next 3 to 6 months to move toward 1 trillion to 1.5 trillion dollars, but that optimism still needs confirmation from coming earnings reports.

Why LTA Matters

Long-term agreements have become a central part of the debate. Compared with a few months ago, investor views on LTAs have improved, with the discussion moving from whether these agreements exist to how memory suppliers can use them to lock in core AI customers.

The remaining concern is transparency. More than half of the surveyed investors still appeared cautious because LTA coverage among Korean suppliers is unclear and contract quality is difficult to compare across companies. JPMorgan expects more than half of future contract volume to move into LTA frameworks, but it does not view LTAs as a hard cap on future pricing power.

The practical interpretation is that LTAs may support earnings stability without eliminating upside. Take-or-pay terms can improve order certainty, while products outside LTA coverage may still benefit if supply remains tight.

HBM Is The Main Gap

HBM pricing is where the buy-side and JPMorgan appear most divided. Many buy-side institutions reportedly expect HBM price per GB to double year over year in 2027, using that assumption to support further earnings upgrades. JPMorgan is more conservative.

According to the report, JPMorgan estimates the current industry average HBM selling price at about 1.8 dollars per GB, even slightly below some high-end server DRAM pricing. The bank also argues that suppliers and cloud customers negotiate memory economics across DRAM, NAND, and HBM together, which could limit how far HBM prices rise in isolation.

JPMorgan’s base expectation is for 2027 HBM average selling prices to rise 25% to 30% year over year. That is still growth, but it is materially lower than the more aggressive market expectation described in the report. The upside caveat is that HBM tends to be repriced annually, so stronger-than-expected AI demand could leave suppliers with room to renegotiate.

Supply Still Looks Tight

JPMorgan’s sector view remains constructive on supply and demand. DRAM is described as the tightest product area, with supply able to satisfy only about 50% to 60% of order demand. NAND appears less tight, with supply meeting about 70% to 80% of order demand.

Even if DRAM wafer capacity expands over the next few years, JPMorgan expects tightness may persist into 2027 to 2028. That matters because the market’s concern is not whether all demand has disappeared, but whether supply tightness can keep converting into durable margins.

Enterprise SSD Support

The report separates weaker consumer NAND demand from stronger enterprise storage demand. Consumer NAND demand has been revised down more than expected, but enterprise SSD demand tied to AI data centers continues to be revised upward.

One highlighted driver is AI application demand such as KV Cache Offload. The supply chain reportedly expects enterprise SSD shipments in 2027 to approach 500 EB, with year-over-year growth near 50% and potential for further upward revision. Investors also reportedly expect large North American cloud providers to pay 0.5 to 0.55 dollars per GB for enterprise SSDs, which would support NAND pricing.

Evidence Limits And Risk

This article is based only on the supplied event summary of JPMorgan’s report and the cited Wall Street CN source material. It does not independently verify the underlying investor conversations, company guidance, contract terms, or future pricing outcomes.

The key risk is that expectations can change faster than fundamentals. If upcoming cloud earnings do not confirm higher capex assumptions, memory stocks may remain under pressure even if AI-related demand is still growing. If HBM pricing or LTA economics fall short of optimistic models, earnings upgrades could also slow.

This is not financial advice. The memory cycle, semiconductor equities, and crypto-linked market sentiment can all be volatile. Readers should treat the data points as inputs for further research, not as a recommendation to buy, sell, or trade any asset.

Crypto Reader Context

Backpack readers who follow crypto markets can use this semiconductor reset as a broader risk signal. AI infrastructure, cloud capex, and chip supply chains influence equity risk appetite, and that can spill into digital asset sentiment when markets are trading growth themes together.

If you trade crypto while tracking macro and AI infrastructure narratives, use exchange access as an execution tool, not as a substitute for research. The supplied Backpack referral link is available at BACKPACK official destination with code 7nfg8123, but no trading outcome, reward, ranking, or investment result is implied.