The US Commodity Futures Trading Commission is preparing to solicit public comment on futures contracts tied to computing capacity — the raw resource powering artificial intelligence — as major exchanges race to list derivatives on the emerging asset class.
Bloomberg reported Monday that the regulator sent a request for comment to the White House Office of Management and Budget for review. Once that review is complete, the CFTC is expected to open a public comment period, typically lasting 30 to 60 days.
The timing matters. CME Group announced last week that it plans to launch two compute futures contracts on October 5, pending regulatory approval, with Intercontinental Exchange also preparing products in the category. An extended comment process could push back those timelines, since the products remain subject to regulatory sign-off.
Computing Power as a Commodity
The proposed contracts would effectively turn AI computing capacity into a tradable commodity alongside oil and electricity, allowing data center operators, cloud providers and institutional investors to hedge the cost of compute. Market intelligence firm Silicon Data will provide the benchmarks used to price CME's contracts.
The regulatory attention reflects how quickly compute has become a macro-critical input. Recent estimates from TD Lombard, Goldman Sachs and Bridgewater Associates put AI infrastructure spending at roughly 2% to 2.5% of US GDP this year — approaching the scale of defense spending — as the AI buildout drives historic demand for data centers, power and chips.
Open Questions for the CFTC
For the CFTC, compute futures raise unfamiliar questions: how to define the underlying benchmark, how to prevent manipulation in a market where a handful of suppliers control capacity, and how contract settlement maps to physically delivered versus financial compute. The request for comment is the regulator's first formal step toward answering them.
The outcome will set a precedent for how AI-era resources are financialized in US markets. For the derivatives industry, the stakes are a potentially enormous new product line; for the AI sector, it is the ability to lock in future compute costs in the same way airlines hedge fuel.
Crypto markets are watching closely. Compute derivatives would create a direct, regulated bridge between AI infrastructure and financial markets — deepening the convergence between the two sectors that has already drawn miners, exchanges and tokenization platforms into the AI supply chain.