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Arthur Hayes Proposes AI-Native Currency for Computing Power Exchange

BitMEX co-founder Arthur Hayes argues that AI agents require a dedicated token to directly exchange for computing resources, launching the Flop Labs project to address what he sees as an inefficient market for compute transactions.
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Arthur Hayes Proposes AI-Native Currency for Computing Power Exchange

Arthur Hayes has outlined a case for AI agents to use a dedicated form of money designed specifically for purchasing computing power, rather than relying on dollars, Bitcoin, or traditional payment systems. Hayes announced Flop Labs, an AI payment project, to address what he describes as the absence of an efficient spot market for converting money into a known quantity of computing power over a specified timeframe.

The Core Problem

Hayes argues that AI agents have fundamentally different spending needs than humans. While people require food and services, AI agents consume floating-point operations—the calculations needed to run AI models. Under this logic, the currency used by an agent economy should be directly redeemable for the computational resources agents actually consume.

Hayes questioned whether existing stablecoins and tokenized payment systems are suited for this role, noting that such systems were designed around institutions, legal entities, and users with physical-world needs. Autonomous agents lack these characteristics.

The Flop Network Design

The proposed Flop Network would operate as follows: GPU operators would provide computational inference and receive FLOP tokens in return, while validators would verify the work cryptographically. Operators would post stakes that could be forfeited if they submit false results. AI agents would then pay for computing resources using the same FLOP token, with the network providing proof of work completion.

According to preliminary tokenomics, FLOP supply is projected to reach approximately 17.2 billion tokens by year 10. The Genesis airdrop allocation includes 1.5 billion tokens for miners, 1.2 billion for agents, 310 million for validators, and 790 million for reserves and incentives. No venture capital allocation or presale is planned. A public testnet is expected to run for about 90 days.

Broader Context

Hayes has spent months characterizing AI investment as a bubble, though he has specified that excess capital sits in data center debt and unprofitable hyperscaler company shares rather than in agent technology itself. He expects AI spending to slow next year before contracting.

Real-world adoption of agent payment systems remains limited. Settlement volume on Coinbase's x402 agent payment protocol declined 93% during the year, according to analyst Jamie Coutts, though he anticipated volume could recover in the fourth quarter.

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