BlackRock, the world’s largest asset manager, released a research paper titled "The Machine-Native Economy" arguing that widespread artificial intelligence adoption represents an underappreciated source of demand for digital assets. The report posits that the rise of agentic AI and machine-to-machine payments will likely increase reliance on programmable payment infrastructure, including blockchains, stablecoins, and other on-chain assets. BlackRock analysts Will Su, Robert Mitchnick, Jay Jacobs, and William Helm identified two primary areas where this convergence occurs: high-frequency transactional use cases and the market for computing power.
Regarding transactions, the firm notes that traditional payment rails often require human involvement for account setup and authorization, while merchant fees make low-value, sub-cent transactions uneconomic. In contrast, stablecoins, native cryptocurrencies, and tokenized real-world assets are described as well-suited for around-the-clock, high-frequency machine-to-machine exchanges. The authors specifically stated that stablecoins are likely to lead in transactional use. Additionally, the report highlights an opportunity for digital assets to support the growing compute market by allowing claims on computing capacity to be tokenized, traded, and used as collateral. This mechanism could enable AI agents to automatically purchase resources, potentially broadening institutional investor participation in the digital asset ecosystem.
This development signals a shift in how major institutional players frame the utility of digital assets, moving beyond speculative narratives toward infrastructure-based value propositions tied to technological megatrends. By explicitly linking AI adoption to blockchain usage, BlackRock provides a macroeconomic thesis that may accelerate institutional acceptance of stablecoins and tokenized assets as necessary components of an autonomous digital economy. The argument addresses specific friction points in current financial systems, such as settlement times and fee structures, positioning crypto-native instruments as efficient solutions for machine-driven commerce rather than merely alternative investments.
However, the realization of this thesis depends heavily on regulatory clarity and technical interoperability between AI agents and existing financial protocols. While industry figures like Coinbase CEO Brian Armstrong have long advocated for this synergy, BlackRock’s endorsement brings significant weight to the conversation among conservative investors. Market participants should monitor whether the proposed tokenization of compute capacity gains traction in practice, as this would create new asset classes and liquidity pools distinct from traditional cryptocurrency trading volumes. The success of initiatives like x402 and Circle’s agent wallets will serve as early indicators of whether these theoretical benefits translate into measurable economic activity.
