Bitcoin Magazine
BlackRock Says AI Agents Could Be the Next Big Driver of Crypto Demand
Artificial intelligence and digital assets are beginning to converge, with AI models showing a preference for bitcoin and stablecoins, according to research cited by BlackRock .
In a new report, the $15 trillion Wall Street giant said that card networks and automated clearing houses involve human-driven onboarding, fees that make tiny payments uneconomic and slower settlement and finality.
The report, “The Machine-Native Economy”, is a bet that the next big source of crypto demand won’t be human investors but software. As AI agents begin booking travel, buying data and renting computing power on their own, BlackRock argues, they will need payment systems that run around the clock and can handle transactions worth fractions of a cent.
NEW: $15 trillion BlackRock says AI agents may choose to save in #Bitcoin for "long-term value preservation" 
"These findings … point to a potential AI-native monetary architecture in which stablecoins serve as transactional money and bitcoin as a store of value." 
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“As AI agents become more capable and as their real-world applications expand, they increasingly demand payment and asset infrastructure designed natively for machine-speed commerce,” the report read.
“Crypto-native blockchain rails are particularly well suited to high-frequency, sub-cent, machine-to-machine transactions that take place around-the-clock, including API calls, on-demand data, and consumption based compute.”
It added that the Bitcoin Policy Institute research found that “controlled simulations generally favored stablecoins for everyday payments and bitcoin for long-term value preservation.”
assets could become increasingly integral to AI’s economic infrastructure, expanding utility across stablecoins, tokenized RWAs, and native cryptoassets that support blockchain settlement,” the report noted.
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