BlackRock Bets AI Agents, Not Humans, Will Be Crypto’s Next $15 Trillion Catalyst

Forget retail traders and Wall Street allocators for a moment. According to BlackRock, the next wave of crypto demand might not come from people at all, but from machines quietly transacting with one another, thousands of times a second, without a human anywhere in the loop.

In a new report titled “The Machine-Native Economy,” the $15 trillion asset manager argues that artificial intelligence and digital assets are converging in ways that could reshape how value moves through the global economy. The core idea is straightforward: as AI agents take on more autonomous tasks, from booking flights to purchasing datasets to renting cloud computing power, they will need a financial system built for machine speed rather than human bureaucracy. BlackRock believes that system already exists, and it runs on blockchains.

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Why Traditional Payments Can’t Keep Up With AI-Driven Crypto Demand

The report’s starting point is a blunt critique of existing financial plumbing. Card networks and automated clearing houses, BlackRock notes, were designed around human onboarding, batch settlement windows, and fee structures that make sense for a $50 purchase but collapse under the weight of a transaction worth a fraction of a cent. An AI agent calling an API a thousand times a minute, or paying machine-to-machine for slivers of compute time, doesn’t fit that mold.

That mismatch, BlackRock suggests, is exactly where crypto demand could surge. Blockchain rails, the report argues, are “particularly well suited to high-frequency, sub-cent, machine-to-machine transactions that take place around-the-clock,” pointing to use cases like on-demand data purchases and consumption-based compute billing as early examples of what an agent-driven economy might actually look like in practice.

Bitcoin as Savings, Stablecoins as Spending Money

Perhaps the most striking part of the report is its attempt to sketch out how AI agents might actually behave with money if given the choice. Citing research from the Bitcoin Policy Institute, BlackRock says controlled simulations found that AI systems generally gravitated toward stablecoins for everyday payments, while favoring bitcoin for long-term value preservation.

In other words, the machines sorted themselves into roughly the same two-tier monetary logic that many human crypto investors already follow: a stable, dollar-pegged token for spending, and a scarcer, harder asset for saving. BlackRock frames this as evidence of “a potential AI-native monetary architecture in which stablecoins serve as transactional money and bitcoin as a store of value,” a split that, if it holds at scale, could generate steady transactional crypto demand from stablecoins alongside accumulation-driven demand for bitcoin itself.

The report goes further, suggesting that as agentic AI systems become more capable and more widely deployed across industries, digital assets could become genuinely embedded in AI’s economic infrastructure. That would stretch beyond bitcoin and stablecoins to include tokenized real-world assets and other native crypto tokens that support blockchain settlement, according to the report.

BlackRock’s Growing Bet on Digital Assets

This isn’t a one-off musing from a firm dabbling in crypto commentary. BlackRock has steadily built out a crypto footprint over the past two years, most visibly through its iShares Bitcoin Trust, which the Securities and Exchange Commission approved in 2024. That fund went on to post the most successful debut of any ETF in history and now oversees more than $67 billion in assets, cementing BlackRock’s position as the dominant player among U.S. spot bitcoin funds.

The firm has also previously argued that bitcoin deserves to be treated as its own asset class, separate from equities or gold, and has pointed to investors using it as a hedge against potential sovereign debt crises. The AI-agent thesis adds a new, less conventional layer to that argument: instead of framing crypto demand purely around human portfolio allocation or macro hedging, BlackRock is now betting that software itself will become a buyer, and that machine-driven adoption could end up being an underappreciated force in the market.

Whether AI agents actually begin transacting in bitcoin and stablecoins at meaningful scale remains to be seen, and the report leans heavily on simulations rather than live market data. But coming from a firm managing trillions of dollars and sitting atop the world’s largest bitcoin ETF, the argument carries weight. If BlackRock is right, the next leg of crypto demand may not be driven by a bull run in sentiment among human traders, but by the quiet, round-the-clock commerce of machines that never sleep, never take holidays, and never wait for a bank to open.

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