Just like gold and oil, we’ll soon be able to trade AI token futures

Source: TechCrunch

AI Token Futures Development

China’s Shanghai Futures Exchange is designing a derivatives market for AI tokens, according to Reuters. The news arrives as major derivatives exchanges CME Group and Intercontinental Exchange (ICE) (the owner of the NYSE) have announced plans to launch futures contracts for renting GPUs.

GPU Rental Market Overview

GPU markets are still maturing, but a robust spot‑price market exists for GPU rental, typically charged by the hour. Data from AI Mining Co., which tracks daily GPU rental pricing across 28 marketplaces and cloud providers, shows:

• Median prices for Nvidia H100 GPUs ranged from $1.40 to $4.27 per hour across 13 marketplaces.
• Average prices for H200 GPUs were between $2.34 and $5 per hour across 10 marketplaces.
• Over the past seven days, average H100 prices ranged from $2.79 to $3.33 per hour.

Token Pricing in AI Services

Infrastructure around the tokens themselves— the fundamental building blocks of contemporary AI models— is less developed. Enterprise plans for major AI companies are commonly denominated in tokens. For example, OpenAI charges $5 per million input tokens and $30 per million output tokens for its latest GPT‑5.5 model API. Cloud providers are also moving toward per‑token pricing, as seen in Amazon Bedrock’s pricing model.

Infrastructure Investment and Emerging Players

The push to create AI token futures comes amid an unprecedented build‑out of AI infrastructure. Cloud service providers, private‑equity firms, and other infrastructure players have poured hundreds of billions into data centers, anticipating continued demand for GPUs and compute. A new wave of global neocloud companies is also vying for a share of this demand, with some specializing in inference and others competing directly with cloud giants such as Oracle, AWS, and Google Cloud.

Potential Impact of AI Token Futures

By targeting AI tokens, the Shanghai exchange’s derivative product would be tied to how AI companies price their services, giving businesses, investors, and data‑center operators a way to hedge against the cost of compute.