BlackRock says AI agents favor stablecoins

TLDR

BlackRocks new research argues that autonomous AI agents are likely to use stablecoins as their default machine money for payments.

1. BlackRocks Machine-Native Economy paper and cited studies say AI agents need 24/7 micro-payments, and stablecoins are better suited than bank rails or cards.
2. This favors dollar-pegged stablecoins and settlement networks like Ethereum and Circles Arc, and it could underpin new tokenized markets for computing power.
3. Actual AI-agent payments are still tiny, so the key watchpoints are protocol adoption, regulation, and whether value accrues to stablecoins, base chains, or alternatives like Bitcoin.

Deep Dive

1. BlackRocks Thesis And Evidence

BlackRocks Machine-Native Economy report frames AI as machine-native intelligence and digital assets as machine-native money, arguing that agentic AI will drive demand for programmable payments and tokenized claims on compute resources, with stablecoins leading transactional use in this new economy, as summarized in the Machine-Native Economy paper.

The firm explicitly states that stablecoins are likely to lead transactional use for AI agents, because they combine price stability with on-chain programmability, according to a Finbold summary.

BlackRock also cites research from the Bitcoin Policy Institute showing newer AI models increasingly choose stablecoins rather than Bitcoin for everyday payments, with one analysis finding models preferred stablecoins in 77% of payment scenarios versus 20% for Bitcoin, as reported by Bitcoin.com.

2. Why Stablecoins Fit Machine Payments

Stablecoins such as USDC and USDT are pegged to fiat (usually the US dollar), making them natural units of account for pricing APIs, data, and compute, while blockchains provide always-on settlement and programmable control. BlackRock highlights that traditional card networks and ACH struggle with sub-cent, high-frequency transactions and strict onboarding, whereas stablecoins can settle instantly at fractions of a cent, as detailed in the CryptoSlate analysis.

Protocols like Coinbases x402 and other machine-payment standards let agents pay per API call or per compute unit directly from wallets, and BlackRocks paper names Ethereum and Circles Arc as prime settlement venues for such activity, according to Finance Yahoos coverage.

Stablecoins already processed roughly $11 trillion of adjusted volume in 2025 and have a market cap above $300 billion, giving them an existing base of liquidity and infrastructure that AI payments can plug into, as noted in the Machine-Native Economy paper.

3. What To Watch Next

Despite the strong thesis, actual AI-agent payment usage is early. TRM Labs data cited by BlackRock shows AI agents currently account for only about 0.6 to 7.5 percent of payment volume on the x402 protocol, meaning most on-chain machine payments still come from simpler scripts rather than fully autonomous agents, according to Decrypts summary.

There is also competition. Bitcoin advocates push Lightning and L402 for agentic payments, while banks test tokenized deposits that mimic stablecoins but stay inside bank balance sheets, as described in UK tokenized deposit pilots covered by CoinsKid Community.

Regulation could tilt the field. The US GENIUS Act and related proposals aim to standardize payment stablecoins, and BlackRocks view implicitly assumes regulated, dollar-backed coins become the default machine money, which may favor issuers like Circle over more opaque stablecoins, as discussed in the CryptoSlate piece.

Confidence: moderate, because BlackRock and multiple independent studies align, but live AI-agent usage remains small and could evolve as technology and regulation shift.

Conclusion

BlackRocks claim that AI agents will favor stablecoins rests on a clear mechanism: autonomous software needs low-fee, always-on, programmable money, and dollar-pegged stablecoins already meet that need at scale.

If agentic AI and tokenized compute markets grow as envisioned, the main contest will be which assets and rails become the default machine wallet standard, and whether value flows primarily to stablecoins themselves, the base chains that host them, or competing systems like Bitcoin and bank-issued tokens.