BlackRock Highlights AI Agents as Potential Driver of Crypto Demand

BlackRock sees autonomous AI agents as a potential source of new demand for stablecoins and other digital assets as software systems take on more commercial tasks, while its iShares Bitcoin Trust (IBIT) recorded $350.35 million in net inflows on September 22.

In its research paper The Machine-Native Economy, BlackRock argues that AI agents could eventually conduct payments independently for services such as data, software and computing resources. According to BlackRock’s research paper, The firm’s analysis focuses on how digital assets could fit into an economy where software can initiate and complete transactions within predefined limits.

AI agents can plan multiple steps, interact with external services and make purchases on behalf of their operators. A system performing a research task, for example, could obtain information from multiple providers and acquire additional computing resources as needed.

That model could create demand for payment infrastructure capable of handling frequent, potentially low-value transactions without requiring manual approval for every purchase.

AI Agents Could Increase Stablecoin Use

Traditional banking systems and card networks already support automated payments, but BlackRock notes that account requirements and transaction costs can make them less convenient for high-frequency, low-value transactions.

Human authorization can also become a constraint when an AI agent needs to purchase a service while completing an ongoing task. BlackRock suggests stablecoins could provide an alternative through programmable transfers that can operate continuously.

The potential use case would depend on businesses being comfortable allowing autonomous systems to control spending within predefined parameters. Payment providers would also need mechanisms capable of addressing identity, security and compliance requirements when transactions are initiated by software rather than directly by people.

BlackRock's analysis therefore presents agent-driven payments as a potential development rather than evidence that AI agents are already generating significant stablecoin demand.

Tokenized Computing Capacity Could Expand Digital Asset Use

BlackRock's research also examines computing capacity as another possible application for digital assets.

The expansion of AI requires substantial access to processors and data-center infrastructure for both model training and ongoing operations. Against that backdrop, BlackRock considers whether standardized claims on future computing capacity could be represented on a blockchain.

Source: Xpost

Under such a system, buyers could acquire claims to computing resources for planned projects and potentially trade those claims if their requirements changed.

For these arrangements to function commercially, contracts would need to establish precise terms covering the amount, quality and delivery period of the computing capacity. Providers would also need to meet their commitments before tokenized claims could become a reliable commercial instrument.

BlackRock presents the concept as a possibility, not as evidence that a large established market for tokenized computing capacity already exists.

The research also identifies Coinbase's x402 among payment approaches being developed for transactions involving AI agents. The emergence of such systems indicates that companies are exploring infrastructure for machine-driven payments, although their eventual adoption and commercial significance remain uncertain.

BlackRock's Bitcoin ETF Draws $350.35 Million

Separate data from SoSoValue showed that BlackRock's iShares Bitcoin Trust, known by the ticker IBIT, recorded $350.35 million in net inflows on September 22.

The fund's cumulative net inflows stood at $64.86 billion, while its net assets reached $68.69 billion. Trading value for the date was $2.18 billion, and the fund recorded a 0.21% discount.

Source: SoSoValue

The ETF figures reflect investor activity in BlackRock's Bitcoin fund, while the research paper addresses potential future applications of digital assets in machine-driven commerce. The two sets of data do not demonstrate that AI agents are currently responsible for stablecoin demand or purchases of tokenized computing capacity.

BlackRock's broader thesis depends on whether businesses adopt autonomous payment systems and whether practical contracts can make computing resources easier to acquire and trade through digital-asset infrastructure.

Writer: Marcus Renfield

Crypto Market Analyst & Onchain Writer

Marcus Renfield covers cryptocurrency markets with a focus on onchain data, Bitcoin price action, and emerging market narratives. His writing examines how capital flows, network activity, and broader market structure influence short- and medium-term trends.

He aims to provide clear, data-informed analysis for readers seeking a deeper understanding of crypto market dynamics.