BlackRock Releases White Paper Connecting Digital Assets and Intelligent Business

BlackRock has released a white paper titled "Machine-Native Economy: How Digital Assets Connect Intelligence, Business, and Computing." The white paper points out that the growth of AI is a defining technological theme, while digital assets represent a parallel financial infrastructure, with both intersecting in the interaction between AI systems and economic networks. AI is viewed as machine-native intelligence, and digital assets are considered machine-native currency. Agent-based AI utilizes blockchain as programmable infrastructure to connect intelligence with economic activities, applying AI to real-world actions such as purchasing and trading. The white paper outlines three overlapping areas: LLMs and blockchain share similar tokenization, with the former encoding language into numerical values and the latter tokenizing economic value for machine-verifiable transfer and settlement; agent-based commerce requires machine-native payment rails, with stablecoins, native crypto assets, and on-chain assets serving as tools, while traditional rails face limitations in low-value programmable transactions around the clock; computing becomes a digital asset market, with projections that by 2030, hyperscale cloud revenue will exceed $1 trillion annually, and standardized computing power can serve as a use case for financing and programmable settlement.

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