BlackRock Publishes White Paper on the Machine-Native Economy: AI Agents as a New Structural Demand for Digital Assets

BlackRock releases white paper "The Machine-Native Economy": AI agents will become a new structural source of demand for digital assets. According to Gold Finance, on September 23, BlackRock released a research white paper titled "The Machine-Native Economy," exploring the integration of Agentic AI and digital assets, proposing that "AI represents machine-native intelligence, while digital assets represent machine-native money," and that the large-scale deployment of agents will generate newly underestimated market demand for digital assets. The white paper highlights that large language models (LLMs) and blockchain share a similar underlying "tokenization" logic: LLMs convert human language into machine-processable tokens, while blockchain transforms economic rights into on-chain tokens to enable machine-verifiable ownership and settlement. AI agents can leverage blockchain’s programmable infrastructure to extend AI capabilities from content generation to real-world transactions, autonomously executing operations such as procurement and financial settlements. The report outlines three key integration pathways: First, LLMs and blockchain share a tokenized architecture; second, AI-driven commerce requires machine-native payment infrastructure, making stablecoins ideal for high-frequency, low-value, 7x24 machine-to-machine transactions; third, computing power itself is emerging as a new digital asset market, with combined revenues of leading cloud providers projected to reach $1.1 trillion by 2030.