BlackRock, the world's largest asset manager, has published a research paper exploring how artificial intelligence could emerge as an underestimated source of demand for digital assets. The paper, titled โThe Machine-Native Economy,โ was authored by members of the firmโs digital assets team, including Robert Mitchnick and Will Su. It presents a research thesis rather than announcing a product or a current market trend, focusing on future possibilities.
The core argument posits that autonomous AI agents, defined as software capable of executing multi-step tasks with minimal human intervention, will require a native form of currency to operate efficiently. These agents would need to acquire data, pay for various services, and lease computing resources. Traditional financial systems, such as banks and credit card networks, were designed primarily for human users, involving accounts and manual confirmations. In contrast, stablecoins and other on-chain digital assets are seen as well-suited for the continuous, fractional payments that AI agents might make.
The paper identifies several types of digital assets that could fulfill this role, including stablecoins, native cryptocurrencies, and tokenized real-world assets. It also introduces the concept of tokenized computing capacity as another potential instrument. For retail forex, CFD, and crypto traders, this perspective offers a conceptual framework for potential long-term shifts in asset utility, distinct from current speculative trading dynamics.
The Rationale Behind Machine-Native Money
- Autonomous Agent Needs: AI agents require methods to pay for data access, services, and computational power without human intermediaries.
- Limitations of Traditional Finance: Existing banking and payment infrastructure is optimized for human interaction, not automated, high-frequency, micro-payments.
- Suitability of Digital Assets: Stablecoins and other blockchain-based assets offer the speed, programmability, and low transaction costs that could cater to machine-to-machine payments.
- Potential Instruments: The research highlights stablecoins, native cryptocurrencies, and tokenized real-world assets as primary candidates, with tokenized computing capacity also considered.
This research from BlackRock underscores a forward-looking perspective on the utility of digital assets, suggesting a potential demand channel driven by technological evolution rather than traditional investment speculation. It does not imply immediate market shifts but rather outlines a theoretical framework for future economic interactions involving AI.
๐ฐ Based on reporting from: ForexLive โ