Why the ChangXin Memory Technologies IPO and Nvidia’s Talks to Guarantee $250 Billion of Compute Financing Triggered DeepSeek-Style Valuation Repricing
目录
TL;DR
On the Same Night, the Market Was Not Recalculating Today’s Earnings
Valuation Buys Future Earnings, Not Today’s Earnings
DeepSeek Challenged “How Much Compute Is Required per Unit of Intelligence”
ChangXin Memory Technologies Challenged “How Long Memory Supply Can Remain Scarce”
Nvidia’s Guarantee Talks Challenged “Who Can Afford to Pay for Compute Demand”
DeepSeek Provided the Historical Template; Two Catalysts Triggered the Repricing That Day
Earnings Expectations May Change, but Evidence Is Still Lacking
The Next Things to Watch Are Not Sentiment, but Six Sets of Data
Final Assessment: What the Market Cut First Was “How Long to Believe”
本内容基于公开资料和研报数据整理，不构成任何投资建议，不代表任何个人观点，仅供学习参考，请理性阅读
DeepSeek was the historical precedent from January 2025; the ChangXin Memory Technologies IPO and Nvidia’s guarantee talks were the new catalysts on July 27. The three respectively explain, through compute efficiency, supply scarcity, and demand credit quality, why AI hardware valuations can adjust before earnings do.
TL;DR
The July 27 semiconductor selloff looked more like two new catalysts compounding already crowded positioning than a fundamental reversal caused by a single piece of news. Nvidia fell as much as approximately 2.1% in early trading while major US equity indices were still rising, indicating that the market initially traded the OpenAI guarantee talks. Micron Technology, Sandisk, AMD, ASML, and others subsequently weakened in tandem, as the reassessment of long-term supply following the ChangXin Memory Technologies IPO, concerns over the sustainability of capital expenditure, and crowded positioning amplified the decline.
DeepSeek was the historical reference point for valuation repricing; the ChangXin Memory Technologies IPO and Nvidia’s guarantee talks were the catalysts that day. DeepSeek challenged how much compute is required per unit of intelligence; ChangXin Memory Technologies challenged how long memory supply scarcity can persist; and Nvidia’s guarantee talks challenged whether compute demand can be financed on customers’ own credit. None of these three events immediately changed current-period earnings when it occurred, but each shortened, through the same mechanism, the period over which the market was willing to assume that elevated profits would persist.
The ChangXin Memory Technologies IPO primarily changes the long-term supply curve; it does not change DRAM output in one day. 688825 was issued at RMB8.66, raised approximately RMB57.919 billion, and closed its first day at RMB49. The financing will support technology, capacity, and R&D;, but there is currently no evidence that global memory demand, pricing, or the current-period earnings of overseas leaders have weakened.
The $250 billion arrangement under discussion by Nvidia concerns guarantees for lease and construction debt, not chip-purchase guarantees, and it has not yet been signed. It does not prove that OpenAI lacks demand, but it does suggest that financing costs for the approximately 10GW project could be higher without Nvidia’s credit support. Nvidia would be extending beyond simply selling GPUs to acting as an investor and potential guarantor, requiring investors to reassess revenue quality and risk exposure.
Investors should separately verify whether “the share price fell first” and whether “earnings have already reversed.” Genuine fundamental evidence should come from cloud service providers’ capital expenditure, data-center financing spreads, GPU orders and utilization, DRAM and NAND contract prices, ChangXin Memory Technologies’ capacity ramp, and overseas memory manufacturers’ capital expenditure—not merely one day’s share-price action.
On the Same Night, the Market Was Not Recalculating Today’s Earnings
The July 27 price action began with company-specific concerns about Nvidia before broadening into common pressure across the semiconductor sector. Early in the session, Nvidia fell as much as approximately 2.1%, while the S&P; 500, Dow Jones Industrial Average, and Nasdaq Composite were still up approximately 0.6%, 1.0%, and 0.8%, respectively. During this period, the most direct new information for the market was the possibility that Nvidia might guarantee financing for OpenAI’s large data-center project.
Later in the session, Nvidia’s decline widened to approximately 5.06%, Micron Technology fell approximately 6.05%, Sandisk approximately 12.42%, AMD approximately 8.09%, and ASML approximately 7.90%, while the Nasdaq Composite also turned lower. By then, this was no longer an issue involving one company, one customer, or one product. Long-term memory supply, the sustainability of AI capital expenditure, financing structures, and high-valuation positioning were all being traded simultaneously.
This is why attributing the entire night’s selloff either to the “ChangXin Memory Technologies IPO” or to “Nvidia guaranteeing OpenAI” is insufficiently precise. A more reasonable explanation is that multiple developments pointed to the same vulnerability: AI hardware profits are currently strong, but the market has begun demanding a larger discount over how long those profits can persist, who will pay for them, and whether supplier credit support will be required.
The semiconductor sector had already accumulated substantial gains and crowded positioning. Such a market does not require a sudden decline in current-period earnings to correct. As soon as one development reduces confidence in long-term growth, valuations can contract first. The two new catalysts on July 27 respectively challenged supply scarcity and demand credit quality, while the historical experience left by DeepSeek gave investors a ready-made framework for valuation repricing.
Valuation Buys Future Earnings, Not Today’s Earnings
A share price can be broken down into two questions: how much the company can earn in the future, and what multiple the market is willing to pay for those earnings. The first corresponds to earnings forecasts; the second corresponds to growth duration, margin stability, cash-flow quality, and the risk premium.
A share price can still fall even when current-period earnings are unchanged. The reason is usually not that analysts have already sharply cut next quarter’s earnings per share, but that investors have first reduced three assumptions: how many years high growth can persist, how much of peak profitability will ultimately remain, and how much risk must be borne to realize those cash flows.
For AI hardware, elevated valuations have depended on a long chain of beliefs: model capabilities will continue improving; each unit of intelligence will require substantial compute; cloud providers and model companies will remain willing to expand capital expenditure over the long term; GPUs, HBM, DRAM, and NAND will remain scarce; and customers will retain sufficient cash or financing capacity to pay their bills. If any link is questioned, today’s revenue and earnings may remain unchanged while long-term valuation multiples move first.
