AI Compute Futures: The $100‑$150 Trillion Market Race

The “compute” powering the AI boom is poised to eclipse oil within the next decade, birthing a $100‑$150 trillion futures market.

Compute’s Future: The New Gold?

Kalshi CEO Tarek Mansour forecasts that compute will become a $10 trillion industry by 2030, and that its derivatives market could be 10‑15 times larger, creating an unprecedented hedging arena for AI‑heavy firms.

Kalshi’s Tactical Play

■In July, Kalshi launched prediction contracts on five chip types, e.g., betting whether Nvidia’s H200 hourly rental price will exceed $5.

■Recorded $4.4M notional volume, dwarfing Polymarket’s $285K.

■Holds 517K open contracts backed by $125K cash.

Competitive Landscape: CME and Intercontinental’s Entry

■CME Group announced a joint product with an AI data firm, slated for later this year.

■Intercontinental Exchange (NYSE’s parent) unveiled a similar initiative, positioning both incumbents as likely market leaders due to deep liquidity pools and extensive client bases.

Market Mechanics and Liquidity Hurdles

■Compute pricing can swing up to %137 annually, with efficiency gains from newer chips adding forecasting complexity.

■Historical parallel: In the 1970s, oil lacked a standard barrel definition; only after years did benchmarks like Brent and WTI emerge.

■Allium reports Kalshi contracts typically deviate 10% from actual closing prices, indicating they are not yet ready for prime‑time hedging.

As markets gravitate toward this nascent asset class, the ability of large banks to offer OTC swaps and the depth of exchange‑traded futures will dictate who captures the lion’s share of liquidity. Kalshi’s data edge is compelling, but traditional exchanges and banks retain the structural advantage for scalable risk transfer.