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The potential for a futures market in any asset, from onions to AI compute, depends on two factors. The product must be homogenous enough to standardize into a contract, and its price must be volatile enough to create demand for hedging from both producers and consumers.

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Unlike digital assets, perpetual futures are fundamentally incompatible with markets for physical goods like livestock or grain. The model breaks down because a contract that never expires cannot accommodate the essential mechanism of making or taking physical delivery, a core function of these traditional futures markets.

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.

Commodity supercycles are characterized by violent price spikes and crashes. This extreme volatility deters the long-term capital investment required to increase supply. Fear of another collapse prevents producers from expanding, thus ensuring the cycle of scarcity and price explosions continues.

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 CFTC can regulate prediction markets on diverse events because the legal definition of "commodity" is incredibly broad. The Commodity Exchange Act covers virtually everything in commerce except for a few specific carve-outs like onions and box office receipts, granting the agency expansive jurisdiction over non-traditional markets.

Creating synthetic derivatives (like perpetual futures) of traditional assets on-chain is more scalable and efficient than creating direct tokenized copies. This is especially true for assets with high derivative demand, such as emerging market equities.

Kalshi envisions a future where complex assets are unbundled into their core drivers. Instead of just trading NVIDIA stock, you could trade its 'atomic' components, such as quarterly GPU shipments or AI chip demand. This creates more granular pricing signals and precise hedging tools for the modern economy.

Homogeneity and Volatility Determine if a Commodity Can Support a Futures Market | RiffOn