[BlackRock Releases 'The Machine-Native Economy' White Paper: AI Agents Will Become a New Structural Source of Demand for Digital Assets] Golden Finance reported that on September 23, BlackRock released a research white paper titled 'The Machine-Native Economy,' exploring the integration of AI agents (Agentic AI) with digital assets. The paper proposes that 'AI represents machine-native intelligence, while digital assets represent machine-native currency,' and the large-scale deployment of agents will bring underestimated new demand to the digital asset market. The white paper highlights the similar 'tokenization' underlying logic between large language models (LLMs) and blockchain: LLMs convert human language into machine-processable tokens, while blockchain transforms economic rights into on-chain tokens, enabling machine-verifiable authentication and settlement. Agentic AI can leverage blockchain's programmable infrastructure to extend AI capabilities from content generation to real-world transactions, autonomously completing operations such as procurement and financial settlements. The report outlines three major integration tracks: 1. LLMs and blockchain share a tokenization architecture. 2. Agentic AI commerce requires machine-native payment pathways, with stablecoins being suitable for high-frequency, small-value, 24/7 machine-to-machine transactions. 3. Computing power itself is becoming a new digital asset market, with the combined revenue of leading cloud providers expected to reach $1.1 trillion by 2030.