BlackRock says the convergence of artificial intelligence and digital assets could turn blockchains into financial infrastructure for autonomous AI agents, creating networks where machines can pay for data, services, and other resources without relying on conventional human-centered payment systems.
The asset manager outlined the thesis in its 2026 Thematic Mid-Year Update, published August 24, arguing that AI and digital assets could reinforce each other as both technologies move deeper into everyday economic activity.
AI Agents Could Pay Other Machines Directly
BlackRock’s framework separates the distinct roles of these technologies: AI provides “machine-native intelligence,” crypto functions as “machine-native money,” and blockchains provide the programmable infrastructure connecting economic activity.
The argument extends the investment case for blockchain beyond cryptocurrency trading. If autonomous software increasingly makes decisions and purchases services independently, programmable settlement layers could execute transactions nearly instantaneously.
Traditional banking, credit cards, and payment processors impose fixed processing costs that make high-frequency micropayments between software instances inefficient. In contrast, traditional systems designed for humans rely on banks and card networks for delayed batch transfers, whereas agentic settlement layers use programmable blockchains and stablecoins to enable near real-time, high-frequency micropayments directly between autonomous AI software agents. Programmable stablecoins and digital wallets allow software to hold value and settle payments automatically within defined permission limits.
Circle launched its Arc blockchain mainnet on September 16, explicitly designed for real-time value movement and “agentic economic activity”. BlackRock serves as a founding validator for the network alongside Mastercard, Visa, DTCC, ICE, and Standard Chartered.
Tokenization Expands the Machine Economy
Beyond routine micropayments, BlackRock expects tokenization to shift traditional funds, credit, and securities onto digital ledgers. Ethereum currently holds the largest share of tokenized real-world assets (RWAs).
Combining tokenized assets with autonomous agents could allow software to not only handle operational expenses, but also interact directly with financial markets.
Despite this potential, agentic financial systems face ongoing challenges regarding digital identity, legal liability, authorization controls, and cybersecurity. Demonstrating this operational risk, BlackRock issued a job posting in September for an AI and Security Architecture Director specifically focused on securing agentic workflows and tool-driven integrations.
Under this scenario, blockchain’s next major adoption wave may not rely on human end-users, but rather on software continuously purchasing data and settling services across machine networks.
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