BlackRock's New Crypto-AI Thesis: AI Agents Could Pay With Stablecoins BlackRock highlighted a new economic model at the intersection of AI and crypto. As autonomous AI agents buy data, software and computing power, **stablecoins could become a payment tool for machines.** BlackRock calls this the "machine-native economy." It projects AI infrastructure investment could reach **5 trillion $ during 2025-2030**. ## AI Agents Become Economic Actors AI agents could buy data, access APIs, rent cloud computing or use AI services autonomously. This could create demand for **fast, programmable, low-cost, 24/7 payment infrastructure.** ## Stablecoins Could Become Machine Money Traditional card and ACH systems may not suit tiny, high-frequency machine payments. Stablecoins offer programmable blockchain payments, potentially making them important for AI micro-payments. **USDC** could become a key asset in the AI economy. ## Ethereum and Arc BlackRock highlights **Ethereum and Circle's Arc network** as potential infrastructure for AI agents making stablecoin transactions. Greater stablecoin activity could increase Ethereum transaction and block-space demand. Arc focuses on stablecoin use, with fees **paid in $USDC **. ## Stablecoin Growth Stablecoin supply has **exceeded 300 billion $**, with adjusted transaction volume at about **11.2 trillion $ in 2025**. ## A New Source of Crypto Demand AI agents could create **continuous,automated transaction demand independent of humans** for blockchains. Stablecoins could serve as the payment layer, while Ethereum and Arc could provide transaction and settlement infrastructure. ## The New Crypto-AI Equation BlackRock's approach suggests AI could create **a source of demand** for crypto. If AI agents conduct millions of automated transactions, stablecoins could become the payment instrument and blockchains the financial infrastructure. AI's ability to spend money autonomously could become an important crypto growth theme. $ETH