BlackRock says stablecoins power AI payments

TLDR

BlackRock argues that stablecoins are the most likely machine-native money for AI agents making automated payments.

1. Its Machine-Native Economy paper says AI agents will favor stablecoins for always-on, low-fee, machine-to-machine payments.
2. The paper suggests this could increase demand for blockchains like Ethereum and for tokenized compute and data markets.
3. BlackRock stresses that bank and central bank integration will determine which stablecoins become mainstream settlement assets.

Deep Dive

1. BlackRocks Machine-Native Money Idea

BlackRocks research paper The Machine-Native Economy describes AI as machine-native intelligence and digital assets as machine-native money, arguing that autonomous AI agents will need to pay for data, APIs, and compute without humans involved.

The paper says traditional rails such as card networks and ACH require human onboarding, have higher fees, and settle slowly, so they are poorly suited to high-frequency, sub-dollar machine payments. In contrast, on-chain stablecoins are described as 24/7, programmable machine-native instruments, with adjusted stablecoin volumes reportedly above $11 trillion in 2025 and $8.5 trillion in the first half of 2026, levels approaching major card networks.

BlackRock highlights emerging protocols like Coinbases x402, OpenAI and Google agent payment standards, and Visas Trusted Agent Protocol as examples where AI agents can pay directly in stablecoins for services such as API calls and data feeds.

2. Impact On Crypto And Stablecoins

BlackRock explicitly says stablecoins are likely to lead transactional use, with native cryptoassets and tokenized real-world assets as complementary instruments for machine-to-machine commerce. Analysts in the paper argue that this demand could increase usage of smart contract platforms such as Ethereum and other networks that host large stablecoin ecosystems.

The same research identifies a second opportunity: tokenized claims on computing capacity. As AI spending climbs toward projected cloud revenues around $1.1 trillion by 2030, BlackRock suggests standardized, tradable compute contracts could be issued and settled on-chain, becoming collateral and a new asset class for digital markets.

3. Regulation, Settlement And What To Watch

At the same time, BlackRocks digital assets head Nikhil Sharma has argued that stablecoins must stay interchangeable with bank deposits and central bank money to serve as regulated settlement cash, preserving the singleness of money. He emphasizes that banks must be able to convert stablecoin balances into deposits and that final settlement still rests with central bank money or wholesale CBDCs.

The firm points to frameworks like the United States GENIUS Act and the European Unions MiCA as early attempts to regulate payment stablecoins, and notes that which issuers secure bank-grade recognition and clear redemption rules will likely shape winners.

Key things to watch include: how fast AI payment protocols adopt specific stablecoins, which chains are chosen as default settlement layers, and whether tokenized compute markets actually develop beyond pilot projects.

Conclusion

BlackRocks message is that AI and crypto are converging, with AI agents needing programmable, always-on money and stablecoins best positioned to fill that role. If regulators and banks accept certain stablecoins as reliable settlement assets, demand for those coins and their underlying chains could shift from speculative to infrastructural, especially as AI-driven payments and tokenized compute markets mature.