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BlackRock outlines potential AI-native monetary architecture using bitcoin and stablecoins

BlackRock stated that autonomous AI agents may favor stablecoins for everyday payments and bitcoin for long-term value preservation, citing research simulations conducted by the Bitcoin Policy Institute.

An excerpt from a BlackRock document with highlighted text discussing AI agents using stablecoins for transactions and bitcoin for long-term value preservation.
Image: @BitcoinMagazine

Asset manager BlackRock has highlighted a framework where artificial intelligence agents could adopt a dual-currency approach, turning to stablecoins for everyday transactions and bitcoin to preserve value over the long term, according to reports by Bitcoin Magazine, CryptoSavingExpert, and Crypto Rover.[1][2][3]

In commentary citing research from the Bitcoin Policy Institute titled "Which money do AI agents prefer?", BlackRock noted that large language model outputs across controlled simulations favored stablecoins for regular transactions and bitcoin as a store of value. The firm emphasized that these results reflect simulated model responses rather than observed real-world behavior, but said they indicate a potential "AI-native monetary architecture."[1]

BlackRock explained that structured, machine-readable representations provide LLM-based agents with a more direct interface with blockchain data compared to fragmented legacy systems. Through programmable interfaces, autonomous agents can evaluate rules and balances, execute transactions, and verify settlement with minimal manual intervention, addressing use cases that traditional rails may handle less efficiently.[1]

Key facts

  • BlackRock stated in a research paper that AI agents may choose to hold stablecoins for payments and bitcoin for long-term value preservation.
  • BlackRock cited Bitcoin Policy Institute research titled "Which money do AI agents prefer?" to support its framework.
  • BlackRock noted that the cited research reflects simulated model responses rather than observed real-world AI agent behavior.
  • The firm pointed to a potential AI-native monetary architecture where stablecoins provide transactional money and bitcoin acts as a store of value.
  • The commentary noted that machine-readable blockchain data allows LLM-based agents to execute transactions and verify settlement with limited reliance on manual processes.
  • Bitcoin Magazine, CryptoSavingExpert, and Crypto Rover reported the development, identifying BlackRock as a $15 trillion firm.

Sources 路 3 sources

  1. BM

    Bitcoin Magazine@BitcoinMagazinePost on X 路

    NEW: $15 trillion BlackRock says AI agents may choose to save in #Bitcoin for "long-term value preservation" 馃憖 "These findings ... point to a potential AI-native monetary architecture in which stablecoins serve as transactional money and bitcoin as a store of value." 馃憦 https://t.co/utJHYuTkGJ

    Open source
  2. C庐

    CryptoSavingExpert 庐@CryptoSavingExpPost on X 路

    BlackRock says AI agents could increasingly choose Bitcoin as a way to store value. As AI agents become more autonomous, Bitcoin could play a major role in the emerging AI economy. A $15 trillion market watching Bitcoin this closely is a huge development for crypto. https://t.co/YpayGeFAej

    Open source
  3. CR

    Crypto Rover@cryptoroverPost on X 路

    HUGE: $15 trillion BlackRock says AI agents may use stablecoins for payments and Bitcoin for long-term value preservation. MASSIVE FOR CRYPTO! 馃殌 https://t.co/HeHB9OGPeA

    Open source