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.

During a rapid AI takeoff, the cost of compute could become prohibitively expensive, blocking safety efforts. Ajeya Cotra advises organizations to hedge this risk by investing in companies like Nvidia or even owning physical GPUs, ensuring they can afford the necessary AI 'labor' when it matters most.

The head of AI at Hudson River Trading highlights a practical barrier to creating a financial market for compute. For serious training, the minimum "lot size" is thousands of GPUs, not a small, fungible unit. This makes it difficult to standardize a contract and create liquidity, unlike commodities with smaller, interchangeable units.

A liquid futures market for GPU compute would create price transparency, threatening the business models of hyperscale cloud providers. These giants benefit from opaque, bundled pricing and controlling supply. They will naturally resist the standardization and transparency that an open futures market would bring.

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 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.