BlackRock, the world’s largest asset manager, has published an 11-page white paper exploring the convergence of artificial intelligence and digital assets. The paper describes AI as “machine-native intelligence” and digital assets as “machine-native money,” and argues that stablecoins are likely to lead transactional applications in an increasingly automated economy.
The document envisions a future where machine-to-machine micropayments, high-frequency automated transactions, and programmable financial asset interactions become standard. It highlights the need for decentralized value settlement networks for AI agents and points to stablecoin transaction volumes exceeding $11 trillion in 2025 as evidence of growing adoption. BlackRock also introduces the concept of “agentic commerce,” where digital assets enable autonomous economic activity.
The white paper follows BlackRock’s recent moves into tokenized money market funds and its exploration of stablecoin issuance. Analysts, including commentary highlighted by Nate Geraci and WuBlockchain, suggest the research could encourage other financial institutions to examine stablecoin and AI integration more seriously, potentially shaping institutional adoption and market sentiment in the coming weeks.
