Goldman Sachs and JPMorgan are exploring the creation of futures contracts based on the hourly rental cost of a GPU. This move would transform scarce computing power into a tradable commodity, similar to oil or corn, allowing companies to hedge against price volatility. It marks a significant step in the financialization of the AI industry's core resource.

Previous attempts at tech futures like DRAM failed because prices only moved in one predictable direction: down. In contrast, the market for GPU compute will experience cycles of high demand and excess supply. This two-way volatility creates genuine hedging needs, making a futures market viable and necessary.

According to BlackRock's CEO, AI compute is poised to become a new asset class, similar to oil or corn. Due to its scarcity, standardization, and price volatility, it's likely that futures markets will emerge, allowing companies to trade and hedge compute resources.

While futures contracts for GPU compute will allow companies to hedge costs, they also introduce systemic financial risks into the AI ecosystem. The inability to predict who holds the ultimate risk and the potential for counterparty default could create new, complex vulnerabilities, mirroring challenges seen in the maturation of other financial markets.

Historically, when a derivatives market is layered on top of a spot commodity market (like oil), its value becomes 10 to 15 times larger. Kalshi's CEO applies this rule of thumb to AI compute, suggesting the futures market for GPUs could reach tens of trillions of dollars.

The massive global investment required for AI will drive demand for GPUs so high that the annual market spend will exceed that of crude oil. This scale necessitates a dedicated futures market to allow participants, especially new cloud providers, to hedge price risk and lower their cost of capital.

According to BlackRock's CEO, AI compute power is so scarce and critical that it will evolve into a financialized asset. He foresees futures markets where companies can trade compute capacity like oil or electricity, creating a new asset class for investment, speculation, and hedging in the AI economy.

The economic roles in the emerging compute futures market directly parallel the oil market. Compute providers ('NeoClouds') are like oil producers (Shell), needing to hedge revenue volatility. AI companies and other users are like airlines, needing to hedge cost volatility. This classic structure is essential for building a liquid, functional derivatives market.

The emerging market for AI compute financial instruments was kickstarted by CoreWeave. They innovated by using GPUs as collateral for debt, enabling them to fund huge infrastructure deployments ahead of competitors. This novel financing model is now becoming mainstream, paving the way for derivatives.