ICYMI: BlackRock says AI agents could be an overlooked source of crypto demand

<p dir="ltr">BlackRock, the world's largest asset manager, has published a research paper arguing that artificial intelligence could become an overlooked source of demand for digital assets. The paper, titled <a href="https://www.blackrock.com/us/individual/literature/whitepaper/the-machine-native-economy.pdf" rel="follow">The Machine-Native Economy</a>, comes from the firm's digital assets team, including Robert Mitchnick and Will Su. It is a research thesis, not a purchase, a filing or a product launch, and it does not claim the demand has already arrived.</p><p dir="ltr">What BlackRock is arguing</p><p dir="ltr">The paper describes AI as machine-native intelligence and digital assets as machine-native money. The idea is that autonomous AI agents, meaning software that can plan and complete multi-step tasks with little human input, will need to buy data, pay for services and rent computing power. Banks and card networks were built around people, accounts and confirmation clicks. BlackRock argues that stablecoins and other on-chain assets suit the small, round-the-clock payments agents would make. It names stablecoins, native cryptocurrencies and tokenized real-world assets as possible instruments, and floats tokenized computing capacity as a further idea.</p><p dir="ltr">Why it matters, and what it does not say</p><p dir="ltr">The mechanism here is payments, not price speculation. Stablecoins are the most direct fit because an agent buying a few seconds of computing power needs a predictable unit of account. Coverage of the paper notes that it does not argue Bitcoin becomes the default currency for machine transactions, so readers should not treat it as a Bitcoin call.</p><p dir="ltr">How much of this exists today</p><p dir="ltr">Very little, on the evidence available. Blockchain analytics firm TRM Labs examined $52.7 million in settlements on Coinbase's x402 protocol, which lets software pay for an API call within the same request, and estimated AI agents likely made up between 0.6% and 7.5% of that volume. BlackRock itself acknowledges agent payments are at an early stage.</p><p dir="ltr">Critics add two cautions. A TechFlow analysis argues the narrative is not new to crypto, and that on-chain data markets show almost no notable revenue for the data-buying activity the paper highlights. It also points out that agent payment protocols compete with each other. Stripe and Tempo's Machine Payments Protocol, for example, settles in both stablecoins and traditional currency, so conventional rails may keep a share of the traffic.</p><p dir="ltr">What to watch next</p><p dir="ltr">The next observable test is whether measured agent activity grows beyond that 0.6% to 7.5% estimate on x402 and similar protocols. Evidence of agent-driven volume rising in absolute terms would strengthen the thesis. If agent share stays in the low single digits, the paper remains a forecast rather than a demand story. Protocols that settle in fiat as well as stablecoins capturing most agent traffic would weaken the case for crypto-specific demand.</p><p dir="ltr">The practical takeaway for readers is to treat the paper as a framework for what infrastructure to monitor, not as a price signal. A BlackRock research paper is not evidence of institutional buying, and no trade is implied.</p><p dir="ltr"></p> This article was written by Eamonn Sheridan at investinglive.com.