The paper carries no direct flow signal, since it commits no BlackRock capital and involves no new product, so any market effect is likely to run through sentiment rather than fresh demand. It does lend institutional weight to the AI and crypto convergence theme, which tends to favour settlement-layer tokens and stablecoin issuers in narrative terms. The timeline, however, is measured in years. Near-term ETH positioning is more likely to take its cue from ETF flows and macro data than from forecasts about agentic payments.---BlackRock's paper, The Machine-Native EconomyEarlier:BlackRock Ethereum ETF buying slows by a third in a week, even as ETH rallies---BlackRock is betting that the next big stablecoin customer won't be human, but the agents it describes have yet to show up in the data.Summary:BlackRock's digital assets research team published "The Machine-Native Economy" this week, arguing that AI agents will need machine-native payment rails and that stablecoins are likely to lead transactional use.The paper names Ethereum and Circle's Arc as settlement venues, and cites Coinbase's x402 protocol as an emerging standard for machine-to-machine payments.Stablecoins had more than $300 billion in circulation as of September. Adjusted volume topped $11 trillion in 2025, growing at an 80% CAGR since 2020 versus about 8.5% for ACH, although ACH still moved around $93 trillion.The widely cited $5 trillion is an estimate of cumulative AI capex from 2025 to 2030, not a stablecoin market size.BlackRock sees tokenised compute contracts and eventually exchange-traded compute futures emerging, with hyperscaler cloud revenue near $1.1 trillion by 2030.The authors acknowledge that agentic payment activity and compute market liquidity remain limited.BlackRock has published a research paper arguing that autonomous AI agents could become a significant new source of demand for stablecoins and the blockchains that settle them. It names Ethereum and Circle's Arc as potential settlement venues. The paper, The Machine-Native Economy, was released this week by BlackRock's digital assets research team. It describes AI as machine-native intelligence and digital assets as machine-native money.The mechanism is straightforward. An AI agent completing a task, such as booking travel or running an extended analysis, may need to pay repeatedly for API calls, data feeds and processing power. Those payments are often worth fractions of a cent and can happen at any hour. BlackRock argues that card networks and ACH are less suited to that pattern: account setup can require human involvement, merchant fees make tiny payments uneconomic and settlement is not instant. It points to x402, an open payment protocol developed by Coinbase that lets machines pay in stablecoins such as USDC, as one emerging standard.BlackRock backs the case with scale data. Stablecoins had more than $300 billion in circulation as of September, and adjusted transaction volume topped $11 trillion in 2025. That volume grew at an 80% compound annual rate since 2020, against about 8.5% for ACH. ACH still moved around $93 trillion last year, however, and BlackRock notes that its stablecoin and card network figures are not directly comparable.The $5 trillion figure in some headlines needs context. It refers to outside estimates of cumulative AI capital spending between 2025 and 2030, not to a stablecoin market. BlackRock uses it to frame a second argument: that compute is becoming an investable resource. Consensus estimates put combined revenue at Amazon Web Services, Microsoft's Intelligent Cloud and Google Cloud near $1.1 trillion by 2030. BlackRock says standardised compute contracts could be tokenised, pledged as collateral and eventually traded as exchange-traded futures, and it cites Stripe's August deal to acquire OpenRouter as an early signal.For Ethereum, the benefit to users and the demand for ETH are separate questions. More stablecoin settlement on Ethereum could lift demand for blockspace and validator services. BlackRock says, though, that any value capture depends on each network's fee, staking and gas-sponsorship design. On Arc, USDC itself pays transaction fees, so growth there would deepen USDC's utility rather than create demand for a separate token.This is a research thesis, not a purchase, product launch or fund filing, and the authors concede that agentic payment activity and compute market liquidity remain limited. FinTech Weekly noted that the customers BlackRock describes have not yet arrived, and that tokenised bank deposits could weaken the case for stablecoins as the default.What to watch next is whether agent-driven payments start showing up in measurable on-chain volumes, and where they settle. Rising Ethereum fee revenue alongside stablecoin growth would strengthen the case for ETH value capture, while activity concentrating on purpose-built chains such as Arc would weaken it. For now, readers are better served treating this as a long-term adoption narrative to monitor rather than as a near-term price catalyst. This article was written by Eamonn Sheridan at investinglive.com.