The crypto winners from AI may not be AI coins at all as agents start spending autonomously

AI agents are moving beyond chatbot duty and into a bigger role across the internet. As software starts researching, buying, coordinating, and completing tasks with limited supervision, a new question arises: how does a non-human user pay, prove who it is, and operate within clear rules?

That question opens an unexpected lane for crypto, especially in stablecoins, digital wallets, and machine-friendly identity systems.

For years, crypto has searched for a role that feels native to the internet. Trading brought attention, and speculation brought traffic to it. But it felt incomplete, like its deeper promise pointed somewhere else: a financial system designed for digital life from the start.

AI agents could sharpen that promise.

The term might feel fuzzy, partly because it gets used for almost everything in AI. An AI agent is software that can take a goal, break it into steps, use tools, gather information, and carry out actions with some autonomy.

That shift essentially changes the way the internet works. A chatbot gives you answers to a question, but an agent can compare vendors, renew subscriptions, book services, monitor budgets, send instructions to other software, and complete tasks from start to finish.

But once software starts acting like a user, how does it participate in the economy?

The internet is getting a new kind of user: AI agents

Imagine a company using an AI agent to handle part of its daily operations. The system notices higher demand, buys extra compute, pays for a data service, renews a software tool, and logs each step for review.

At that point, the issue is no longer whether the software has the capacity to reason through a task. The biggest issue now is whether the internet has a financial system built for software that can act on its own.

That is where crypto has the potential to separate from the hype surrounding “AI tokens.”

Novelty coins attached to vague promises from AI projects aren’t the best use case for crypto. Agents will need wallets, credentials, payment systems, and clear operating rules. They’ll also have to hold value, spend within predetermined limits, and prove who they represent and leave records that can be checked later.

Traditional (fiat) payments can handle some of that. They were built around people and companies, though, with cardholders, bank accounts, and familiar liability rules at the center.

But AI agents need a different design. They may need to execute lots of small transactions, interact across services, follow pre-set budgets, and operate inside tightly defined permissions, and that calls for a much more programmable setup.

Luckily, crypto has spent years building products and infrastructure that fit those needs.

Wallets are the best example. In crypto, a wallet can be more than a storage tool, as spending caps, whitelists, approval requirements, and delegated access can all sit inside its design.

That makes it easier to create an AI agent with narrow authority: one that can pay approved vendors, stay inside a budget, and act only within a specific task.

Identity will also become very important. As agents spread, platforms will need better ways to answer basic questions, like what this agent is, who authorized it, and what it can do.

a16z is now calling this shift “Know Your Agent,” arguing that the bottleneck in the agent economy is moving from intelligence toward identity. According to the company’s own estimates, non-human identities in financial services already outnumber human employees by 96 to 1.

However, crypto identity systems aren’t completely ready to dominate. They do, however, match the shape of the challenge. Cryptographic credentials and portable attestations give software a way to prove origin, authority, and permissions in a form that other systems can verify.

Payments are the third piece, and probably the one that markets will grasp fastest.

If agents start doing economic work online, they’ll need a way to move money that looks and feels native to the web.

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Stablecoins stand out here more than almost anything else in crypto. They’re dollar-linked digital assets that can move globally, around the clock, and with a level of programmability that fits software-driven activity especially well. Even BIS noted stablecoins have become increasingly appealing for cross-border payments and trade settlement, despite warning about their limits and policy risks.

Why crypto could benefit more than the “AI coin” crowd

All of this led large payment firms to lean into crypto.

Visa publicly described secure agent-driven transactions and says agentic commerce introduces new complexity and new forms of risk as agents enter payment flows. Stripe launched products aimed at stablecoins and what it calls “agentic commerce.” Mastercard said agentic commerce is expanding and launched a new crypto partner program built around programmability and real-world digital asset use.

That mainstream validation helps because the broader AI trend is already real. OECD data shows company adoption of AI rising from 8.7% in 2023 to 14.2% in 2024 and 20.2% in 2025. While these numbers don’t show an overnight takeover, they do point to a growing wave of software systems taking on narrow, but meaningful work inside the economy.

When you look at it from that angle, the clearest opportunity for crypto in AI is pretty boring. Crypto will penetrate AI with stablecoin infrastructure, wallets, identity and credential layers, and audit and settlement systems for economic activity that’s initiated by software.

That’s also one of the reasons why so many AI-branded crypto tokens struggle to hold value. An AI narrative can attract attention for a while, but lasting value usually comes from the layers people actually use. In this case, that points far more toward digital dollars, machine wallets, and verifiable credentials than toward speculative “agent coins.”

Bitcoin fits into this story a bit more indirectly. It can still benefit from a stronger digital-asset environment and from broader acceptance of internet-native finance. But if an AI agent is paying for software, data, or cloud services, the most obvious fit is definitely not Bitcoin, but a stable, programmable unit of value.

There are still real obstacles here. Trust, security, fraud, and liability won’t get solved instantly just because an agent gets a wallet. Businesses will want tighter oversight, platforms will want stronger authentication, and regulators will want accountability that holds up under pressure.

The more autonomy software gets, the greater the demand for systems that can express identity, permission, budget, and verification in a clear digital form. Crypto has been building those pieces for years, often without an obvious mainstream destination.

AI agents may finally give them one.

For a long time, crypto’s biggest problem was that many people couldn’t see why ordinary users needed a separate financial system online.

The answer may come from a different direction, because we now see that the perfect user of programmable money is actually software. The strongest use case for machine-friendly identity may come from non-human users. And the most compelling role for crypto may emerge when agents need to buy, coordinate, and transact across the internet on their own.

If that happens, crypto’s long search for product-market fit could end in an unexpected place: as a financial layer for software that can act.

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