BlackRock Has Proposed Tokenization of AI Resources

The asset management giant explored a future where autonomous AI agents operate within a machine-native economy.

Updated on Sept. 23, 2026 in Artificial Intelligence

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BlackRock published a white paper proposing the tokenization of AI compute resources to support independent economic activity by autonomous AI agents. AI Illustration. Upload story photo >

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BlackRock has published a white paper titled The Machine-Native Economy, outlining a framework for tokenizing AI compute resources. The report envisions autonomous AI agents acting as independent economic actors using specialized payment protocols.

Why it matters

As AI development accelerates, financial institutions are evaluating how autonomous systems might manage their own resources and financial transactions. BlackRock emphasizes that markets for these machine-native assets remain largely speculative.

The framework utilizes standardized digital contracts for programmable settlement alongside agentic payment protocols such as x402 and the Machine Payments Protocol. These technologies are intended to facilitate machine-initiated transactions for compute resources.

The players

BlackRock

BlackRock is a global investment management corporation that manages more than $10 trillion in assets.

The details

The white paper details three key areas of convergence between artificial intelligence and global finance, building on the firm's prior experience with the BUIDL fund. The analysis suggests that as AI becomes more autonomous, these systems will require dedicated financial infrastructure to function independently.

Timeline

  1. BlackRock published the white paper on 2026-09-23.

  2. The compound annual growth rate projection for cloud services begins in 2025.

  3. The firm forecasts hyperscaler cloud revenue to hit $1.1 trillion by 2030.

The Tech Race

This proposal for AI resource tokenization follows a pattern of financial innovation set by the BUIDL fund. The move positions the firm as a pioneer in integrating autonomous software agents into the legacy financial architecture.

While these developments remain in the speculative white paper stage, they signal a shift toward AI agents that can autonomously handle billing and resource settlement. Users may eventually encounter systems that manage their own operational expenses through automated financial protocols.

The takeaway

The concept of machine-native economies highlights the increasing overlap between high-performance computing and programmable finance. Investors and developers should monitor these developments as they indicate potential structural changes to how cloud infrastructure is financed and managed.

Further reading

Learn more about the latest innovations in Artificial Intelligence.

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Would you trust an AI agent to autonomously manage financial payments for your household needs?