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AI cloud company CoreWeave explores Wall Street playbook to hedge memory-chip price risk
SAN FRANCISCO, July 14 (Reuters) - AI cloud computing company CoreWeave (CRWV.O), opens new tab is exploring the use of financial derivatives as a potential hedge against a future drop in memory and storage chip prices, according to a person familiar with the matter. The unusual move underscores how deeply the AI boom has entangled cloud providers with the volatile chip market. To lock in supply amid soaring demand, thanks to a surge in AI infrastructure construction, cloud operators including CoreWeave have signed long-term agreements with memory and storage makers such as Micron (MU.O), opens new tab and SanDisk (SNDK.O), opens new tab. Many of these deals guarantee suppliers a price floor for dynamic random access memory (DRAM) and storage chips. But the arrangement cuts both ways: it protects chipmakers from a downturn, but leaves cloud companies like CoreWeave exposed if prices fall and they are stuck paying well above the going rate. As a result, CoreWeave executives have held discussions about ways to hedge against a slide in memory chip stocks that would occur if prices drop in the future, the source said. The discussions are in their early stages and the company has not yet executed any hedges, the source said. Among the possibilities discussed are put options -- contracts that give the owner the right, but not the obligation, to sell an underlying asset at a predetermined price in the future -- and potentially other derivative instruments. Memory and flash storage prices have spiked in recent months. Historically, memory has been a cyclical industry and elevated prices often fall after new manufacturing capacity becomes active. Memory companies such as SK Hynix and Micron have indicated they expect fully ramped up new manufacturing capacity in early 2028. Other industries such as energy and airlines have used hedging strategies to help ensure rising or falling oil prices do not have an outsized impact on the business. U.S. airlines have been burned in the past, opens new tab after such hedging efforts. Many companies also hedge against currency risks. Reporting by Max A. Cherney in San Francisco; Editing by Lincoln Feast. Our Standards: The Thomson Reuters Trust Principles., opens new tab * Suggested Topics: * World * Capital Markets Max A. Cherney Thomson Reuters Max A. Cherney is a correspondent for Reuters based in San Francisco, where he reports on the semiconductor industry and artificial intelligence. He joined Reuters in 2023 and has previously worked for Barron's magazine and its sister publication, MarketWatch. Cherney graduated from Trent University with a degree in history.
[2]
AI cloud company CoreWeave explores Wall Street playbook to hedge memory-chip price risk
SAN FRANCISCO, July 14 (Reuters) - AI cloud computing company CoreWeave is exploring the use of financial derivatives as a potential hedge against a future drop in memory and storage chip prices, according to a person familiar with the matter. The unusual move underscores how deeply the AI boom has entangled cloud providers with the volatile chip market. To lock in supply amid soaring demand, thanks to a surge in AI infrastructure construction, cloud operators including CoreWeave have signed long-term agreements with memory and storage makers such as Micron and SanDisk. Many of these deals guarantee suppliers a price floor for dynamic random access memory (DRAM) and storage chips. But the arrangement cuts both ways: it protects chipmakers from a downturn, but leaves cloud companies like CoreWeave exposed if prices fall and they are stuck paying well above the going rate. As a result, CoreWeave executives have held discussions about ways to hedge against a slide in memory chip stocks that would occur if prices drop in the future, the source said. The discussions are in their early stages and the company has not yet executed any hedges, the source said. Among the possibilities discussed are put options -- contracts that give the owner the right, but not the obligation, to sell an underlying asset at a predetermined price in the future -- and potentially other derivative instruments. Memory and flash storage prices have spiked in recent months. Historically, memory has been a cyclical industry and elevated prices often fall after new manufacturing capacity becomes active. Memory companies such as SK Hynix and Micron have indicated they expect fully ramped up new manufacturing capacity in early 2028. Other industries such as energy and airlines have used hedging strategies to help ensure rising or falling oil prices do not have an outsized impact on the business. U.S. airlines have been burned in the past after such hedging efforts. Many companies also hedge against currency risks. (Reporting by Max A. Cherney in San Francisco; Editing by Lincoln Feast.)
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AI cloud computing company CoreWeave is considering financial derivatives to protect against falling memory chip prices. The move highlights how AI infrastructure demand has exposed cloud providers to volatile chip markets through long-term supply agreements with manufacturers like Micron and SanDisk.
CoreWeave, a prominent AI cloud computing company, is exploring the use of financial derivatives as a hedge against potential drops in memory chip prices, according to sources familiar with the matter
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. The discussions, still in early stages with no hedges executed yet, underscore how deeply AI infrastructure demand has entangled cloud providers with volatile chip markets. Among the strategies being considered are put options—contracts that grant the holder the right to sell an underlying asset at a predetermined price—and other derivative instruments that could shield the company from financial risks tied to memory and storage chip price fluctuations2
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Source: Reuters
To secure supply amid surging AI cloud demand, CoreWeave and other cloud operators have signed long-term supply agreements with memory and storage makers including Micron and SanDisk
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. These contracts typically guarantee suppliers a price floor for dynamic random access memory (DRAM) and storage chip components. While this arrangement protects chipmakers from downturns, it leaves companies like CoreWeave exposed if memory chip prices fall and they remain obligated to pay well above market rates. This asymmetric risk profile has prompted executives to explore hedging strategies borrowed from the Wall Street playbook, similar to how energy and airline industries manage commodity price volatility.Memory and flash storage chip prices have spiked in recent months, driven by the AI boom's insatiable appetite for computing resources. However, the cyclical nature of the memory industry means elevated prices often decline once new manufacturing capacity comes online
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. Memory companies such as SK Hynix and Micron have indicated they expect fully ramped manufacturing capacity by early 2028, which could trigger price corrections. This timeline creates a window of vulnerability for AI cloud providers locked into fixed-price contracts, making the hedge memory-chip price risk strategy increasingly attractive as a protective measure against supply chain challenges.Related Stories
CoreWeave's exploration of financial derivatives signals a maturing approach to managing the intersection of AI infrastructure construction and commodity market dynamics. The strategy reflects growing awareness that long-term commitments to secure chip supply—while necessary to meet customer demands—carry substantial downside risk if market conditions shift. Other industries have deployed similar hedging strategies with mixed results; U.S. airlines, for instance, have experienced both successes and failures with oil price hedges. For AI cloud providers, the stakes are particularly high as they balance the need to guarantee capacity for customers against the financial exposure created by volatile chip markets. As manufacturing capacity expands toward 2028, watch for whether other cloud operators follow CoreWeave's lead in adopting sophisticated financial risk management tools to navigate the complex dynamics between AI infrastructure demand and semiconductor supply economics.
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