AI is getting its own wallets. Cryptocurrencies may be facing a revolution where humans will no longer be needed

Artificial intelligence no longer just has to advise what to buy or what to invest in. A new generation of AI agents is gaining access to wallets, exchanges, and payment systems and can independently execute transactions within rules set by humans. Coinbase, Binance, and the Ethereum ecosystem itself are therefore building infrastructure that allows software to pay other software without someone clicking the “confirm” button for every transfer. This is where one of the most interesting practical use cases for cryptocurrencies and stablecoins may emerge.

Imagine a fairly ordinary request – you want to go to Barcelona for a long weekend, you don’t want to pay more than four thousand crowns for a flight, and the hotel must be near the center. Today’s AI can find connections, compare prices, and recommend the best option. But then it typically stops. You still have to complete the payment yourself. The next generation of systems is meant to work differently.

An AI agent receives a task, a budget, and precisely defined permissions. It searches for the best offer on its own, checks the terms, possibly communicates with other services, and finally also pays. It doesn’t have to be just about vacation. An agent can renew subscriptions, purchase additional cloud capacity, buy data, pay for API usage, or manage an investment portfolio.

And it’s precisely at the moment when software needs its own money that the connection between artificial intelligence and cryptocurrencies becomes much more interesting than further speculation about the price of bitcoin.

Table of Contents:

From chatbot to a program that actually acts

The difference between a classic chatbot and an AI agent is primarily that an agent doesn’t have to stop at an answer. It can be given a goal, choose a procedure, and also perform a specific action through connected tools. This can be ordering goods, booking a service, trading on an exchange, or making a financial transfer.

Ethereum today on its official pages dedicated to AI agents directly describes systems that can control their own on-chain wallets, execute transactions, trade, collaborate with other agents, or pay them for services.

This isn’t just theory. Similar tools are already being developed by the largest companies in the cryptocurrency sector.

For example, in June 2026, Coinbase introduced the Coinbase for Agents service, which allows an AI agent to be connected directly to a user account. According to the company, the agent can trade, pay, or perform other financial tasks within pre-established permissions. Even earlier, Coinbase launched the Agentic Wallets infrastructure, namely wallets created specifically with autonomous software in mind.

Binance also introduced Binance Agent OS this year, which connects AI applications with market data, trading, wallets, and Binance payment functions. The user determines what the agent can access and how much money it can use.

Cryptocurrency companies are thus essentially preparing financial accounts not only for people and companies, but also for software.

Don’t miss: Top 10 cryptocurrencies under 1 dollar

Why would AI even need cryptocurrencies?

At first glance, a simple objection arises – why should artificial intelligence pay with ethereum, USDC, or another digital asset when it can use a regular payment card? And in many cases, it actually can.

Visa, Mastercard, and banks are already preparing their own systems for so-called agentic commerce, meaning commerce in which AI takes over part of the purchasing process. For example, Mastercard announced several live European tests of agentic payments this year. One of them took place in collaboration with Worldline and ING and, according to the company, was an end-to-end agentic payment in a production environment.

Cryptocurrencies are therefore not the only path to an economy of autonomous agents. However, blockchain gains an advantage when it’s not a person and an online shop starting to trade, but software with software.

A typical example might be an AI agent that needs a few seconds of computing power, one-time access to a database, or a single query to a specialized API. It can pay a fraction of a cent for each such service.

Traditional card payment systems were built for a completely different type of economy. If someone pays $30 for lunch, a few cents in transaction fees doesn’t present a fundamental problem. But for a payment worth $0.001, such a model would make considerably less sense. And this is exactly where stablecoins and cheaper blockchain networks come in.

109 million payments, mostly for very small amounts

The scale of the emerging market is well illustrated by an analysis from Visa and blockchain analytics firm Artemis.

It focused, among other things, on the x402 protocol, which enables software to make automatic internet payments. The idea references the long-existing HTTP status code 402 “Payment Required,” which was reserved in the early days of the web for future digital payments. The future waited almost thirty years for it.

According to the Visa analysis focused on agentic payments, x402 processed approximately 109.6 million adjusted transactions worth a total of about $15 million from its launch in May 2025 to April 21, 2026. A large portion of the activity took place on the Base, Solana, and Polygon networks.

At first glance, a volume of $15 million may seem almost negligible in the cryptocurrency world. But more significant is the number of transactions.

The average payment comes out to well under one dollar, and according to the same Visa and Artemis analysis, similar protocols often work with exceptionally small amounts. This isn’t about people buying coffee with cryptocurrency, but rather the embryo of an economy in which software purchases small digital services from other software. This type of transaction may be a much more natural environment for blockchain than traditional consumer payments.

Read also: Trust Wallet Review: Master Your Cryptocurrencies with Confidence

AI can pay for its own “food”

To understand the whole concept, it’s useful to imagine an AI agent almost as a small digital firm. To function, it may need computing power, data, access to various models, storage, or services from other agents. Each of these things costs something.

Today, similar relationships are typically handled through accounts, subscriptions, and invoicing. A company, for example, buys a package of one million API queries per month.

In the agentic economy, the model could be completely different. A program requests a specific calculation from a service, automatically pays, say, $0.002 in stablecoin, receives the result, and moves on. Without registration, invoicing, or monthly subscription.

This is exactly the logic used by x402, whose development is supported by Coinbase and Cloudflare, among others. Together they founded the x402 Foundation with the goal of developing an open standard for internet payments.

A wallet doesn’t mean AI owns money

The phrase “AI has its own wallet” may sound a bit scary. In most current implementations, however, it doesn’t mean that a person hands over their savings to artificial intelligence and hopes it will handle them wisely.

Systems are designed precisely so that agent permissions can be limited. Coinbase, for example, describes the ability to separate funds used by an agent from the rest of the portfolio and set limits for maximum trade sizes or spending amounts. The company compares the principle more to giving a limited budget than unlimited access to the entire account.

Similar logic is also supported by so-called smart accounts on Ethereum. For these, it’s possible to set a maximum spending limit, authorized recipients, or specific operations that the software can perform.

The ideal scenario doesn’t look like AI getting unlimited access to money. Rather, it receives very precisely defined financial authority. For example: “You can spend a maximum of $100 per month on cloud services, but you can’t send the money anywhere else.”

What can AI with a crypto wallet do today?

Coinbase, for example, describes scenarios in which an agent can perform financial tasks according to preset rules, work with a portfolio, or use other services connected to the account.

Compared to today’s trading bots, the fundamental difference is broader autonomy. A classic bot typically follows a precisely written rule. An AI agent can be given a more general goal, obtain additional data, evaluate several possible paths, and then use one of the tools to which it has permission. And this is exactly where the biggest problem arises.

What if AI makes a mistake?

An incorrect chatbot response can be unpleasant. An incorrect response from a system that also has a financial wallet can be very expensive.

An agent may incorrectly evaluate an instruction, use poor-quality data, or be manipulated through a so-called prompt injection attack. An attacker, for example, may try to insert an instruction on a website that persuades the autonomous system to change its original behavior. Automatic payments therefore raise a fundamental question of responsibility.

If an agent buys something the user didn’t want, who is responsible for the transaction? The owner of the agent? The developer of the model? The service operator? The wallet provider?

Visa in its analysis of agentic payments warns that existing payment infrastructure was built primarily for situations where a human is behind the transaction. A model in which software systems can autonomously execute a huge number of transactions between themselves therefore requires new mechanisms for authorization, identification, and control.

The situation can be even more complicated on the blockchain, where confirmed transactions are typically irreversible.

Stablecoins may get a completely new reason to exist

For many years, there was discussion about whether people would ever routinely pay for purchases with cryptocurrencies. In practice, however, it turned out that customers typically don’t have much motivation to replace their card or bank account with a volatile cryptocurrency. An AI agent, however, doesn’t carry a card in its wallet, and volatility itself is a problem for automatic billing.

This is why stablecoins, whose value is pegged to, for example, the US dollar, are moving to the center of attention.

For machine payments, they offer several attractive features: they operate around the clock, they can be programmed, very small amounts can be sent with them, and transfers can occur without a traditional bank account on the part of each software agent.

At the same time, it’s not certain that stablecoins will become the only dominant infrastructure. Even Visa in its analysis assumes rather the coexistence of several payment channels. Cards may be more suitable for traditional consumer purchases made by AI on behalf of a person, while stablecoins may gain an advantage in machine micropayments.

Caution is also warranted when evaluating stablecoins in general. The Bank for International Settlements has long pointed to issues of financial stability, regulation, interoperability, and monetary sovereignty associated with their mass adoption.

It’s not about cryptocurrencies replacing cards

In reality, a much more interesting combination may emerge. An AI agent booking a hotel for a person can use a regular payment card. However, the same agent may have previously paid a few hundredths of a cent in USDC for an up-to-date price database, another micro-amount for translating reviews, and several other transactions for the computing power needed to evaluate options.

From the user’s perspective, the result will be a single sentence: “I’ve booked you the best option.” But beneath the surface, several dozen financial operations may have taken place between different software systems.

This is where the real significance of cryptocurrencies for the artificial intelligence era may emerge – not as a replacement for the wallet in a person’s pocket, but as a payment infrastructure for machines.

Could AI agents be the new biggest users of blockchain?

It’s still too early to claim that the agentic economy will trigger the next big cryptocurrency boom. Technologies are still in an early stage, standards are competing with each other, and many current projects may disappear as quickly as they emerged.

However, the direction of development is becoming increasingly difficult to ignore.

For most of cryptocurrency history, their advocates have been trying to convince people why they actually need a blockchain wallet. Artificial intelligence may not need convincing.

If autonomous programs extensively buy data, computing power, and digital services from each other for amounts smaller than one cent, it may turn out that one of the biggest practical markets for blockchain won’t be created by people buying bitcoin. It will be created by software paying other software.

FAQ: AI agents and cryptocurrencies

You might also like: Bitcoin awaits the Fed

Photo source: Adobe Stock (AI Generated)

Šimon Hauser

Šimon Hauser is a Czech financial journalist, specializing in cryptocurrencies, fintech and global capital markets, among other things. With deep insight into the digital economy and investment strategies, he helps readers understand the transformation of the financial sector. His analyses regularly connect technological innovations with the real-world impact on modern investing.

See Full Bio