BlackRock Bitcoin News: AI Agents Could Drive New Demand for Stablecoins
In BlackRock Bitcoin news, the firm published a research paper titled “The Machine-Native Economy” on September 23, 2026, arguing that broad AI adoption represents an “underappreciated” source of demand for digital assets.
The world’s largest asset manager frames this as a structural adoption thesis rather than a price call, positioning stablecoins and tokenized compute, not a Bitcoin forecast, as the near-term mechanics.
The paper’s authors, Will Su, Robert Mitchnick, Jay Jacobs, and William Helm, argue that AI and machine-to-machine payments could increase demand for blockchains and programmable payment infrastructure, including stablecoins and other on-chain assets.
Merchant fees also make sub-cent transactions uneconomic on legacy card networks, and settlement and finality times vary across providers – friction points that matter little to a human cardholder but become disqualifying for software agents transacting continuously.
For context on how BlackRock has separately treated Bitcoin as a portfolio allocation rather than a transactional currency, see BlackRock’s Bitcoin allocation guidance for advisor portfolios.
BlackRock Bitcoin News: AI Agents Need Programmable Payment Rails
BlackRock’s authors write that stablecoins, native cryptocurrencies and tokenized real-world assets are well suited to high-frequency, sub-cent, around-the-clock machine-to-machine transactions. Among the digital-asset types that can support agentic commerce, the firm says stablecoins are likely to lead transactional use.
The primary research cites concrete infrastructure already built for this purpose: Coinbase’s x402 protocol and Tempo’s Machine Payments Protocol are both designed to let AI agents automatically pay for online services.
Circle introduced agent wallets and USDC payment tools in May, while OKX’s Agent Payments Protocol supports recurring payments and escrow-style arrangements in which funds are released upon task completion – a structure also visible in machine-payments experiments built on other ledgers.
Tokenized Compute Could Extend the Thesis Beyond Payments
Beyond payments, BlackRock identifies a second, distinct opportunity in the market for compute, the processing power that trains and runs AI systems. As AI demand surges, the firm argues that AI companies may want to lock in compute costs while providers seek to manage risk, creating a rationale for representing claims on that capacity as tokens.
Those tokenized claims could then be transferred, pledged as collateral, or traded, which BlackRock says could broaden institutional investor participation and create a new opportunity for the broader digital-asset ecosystem.
The authors also note that AI agents themselves could use these markets to automatically purchase resources as needed, closing the loop between machine-native payments and machine-native asset markets.
Conditional Adoption Thesis Faces Execution Questions
BLACKROCK SAYS AI WILL USE CRYPTO!@cryptomanran on the BlackRock report:
It’s the same thesis crypto’s been running. AI agents have to pay other machines and banks weren’t built for that.BlackRock says that demand hits blockchains, stablecoins, and on-chain assets.
Watch… pic.twitter.com/VnCIzS5DTu— Crypto Banter (@crypto_banter) September 24, 2026
Nothing in BlackRock’s primary research constitutes a Bitcoin price forecast; the paper repeatedly frames AI as a potential structural catalyst, not a prediction.
The Cointelegraph-sourced material does not disclose current agent-payment transaction volume, stablecoin circulating supply, or any Bitcoin price reaction tied to the paper’s release.
Separate reporting online notes that BlackRock cites a February 2026 study from the Bitcoin Policy Institute, which ran 36 frontier AI models across 9,072 responses and found that Bitcoin was selected as a store of value 79.1% of the time, while stablecoins were chosen for spending 53.2% of the time.
That figure describes simulated model outputs, not observed transaction behavior, and belongs to a third-party study cited within the BlackRock Bitcoin paper rather than BlackRock’s own testing, a distinction worth preserving before treating it as evidence of actual agent adoption.
This article is for informational purposes only and does not constitute investment advice or a forecast of any digital asset’s price.
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