CoreWeave weighs put options to hedge memory chip price risk
CoreWeave is considering using financial derivatives to protect itself from falling memory chip prices, a novel strategy highlighting the financial vulnerabilities baked into long-term AI infrastructure contracts.
CoreWeave is weighing the use of put options and other derivatives to hedge against a potential decline in memory and storage chip prices, according to a person familiar with the matter. The AI cloud computing provider has held early-stage discussions about the strategy but has not yet executed any trades. The move would mark a rare attempt by a cloud operator to use Wall Street instruments to manage physical hardware costs.
The need for a hedge stems from the supply agreements CoreWeave has signed with memory makers like Micron and SanDisk. To secure scarce components during the AI infrastructure boom, the company has committed to long-term contracts that include price floors for dynamic random access memory and storage chips. While these guarantees shield chipmakers from a downturn, they leave CoreWeave highly exposed if market rates fall below those contracted floors.
Such a scenario is a distinct possibility given the historical cyclicality of the memory market. Spot prices for memory and flash storage have surged recently, but SK Hynix and Micron have signaled that significant new manufacturing capacity will be fully online by early 2028. An influx of new supply typically drives prices down, which would force CoreWeave to pay above-market rates for the duration of its contracts.
To offset this imbalance, CoreWeave is looking at put options tied to memory chip stocks. If chip prices fall, the underlying equities would likely decline as well, allowing the options to generate a profit that could offset the premium paid on the physical chips. The approach mirrors strategies used in other capital-intensive sectors, such as energy companies and airlines hedging fuel, though U.S. airlines have been burned by such efforts in the past.
The exploration of these financial tools underscores a structural shift in the AI supply chain. As cloud providers take on massive capital expenditure risks to build out computing capacity, they are increasingly exposed to the volatility of the semiconductor cycle. Traditional procurement strategies are proving insufficient, pushing infrastructure companies toward the kind of financial engineering usually reserved for commodity producers.
