Crypto and AI : A New Ecosystem Takes Shape Around Autonomous Agents

Artificial intelligence no longer just responds, writes, or analyzes. It also starts to pay. And in this new economy driven by autonomous agents, crypto establishes itself as an almost natural infrastructure. According to Keyrock, these agents settled over 73 million dollars on 176 million transactions between May 2025 and April 2026. A signal still discreet, but impossible to ignore.

AI agents open a new front for crypto payments

The rise of autonomous agents confirms an already visible trend: stablecoins are becoming a natural payment layer for AI. It is no longer just a laboratory experiment. It is an economic mechanism taking shape, transaction after transaction.

The figure may seem modest compared to the gigantic volumes of Visa, Mastercard, or the traditional banking market. Yet, it tells another story. It shows that a machine economy is beginning to operate with its own needs, rhythms, and constraints.

An AI agent that buys an API call, reserves computing power, or pays for a microservice does not need a traditional bank card. It needs a fast, programmable, and low-cost settlement. This is precisely where crypto finds very concrete utility.

The novelty is therefore not only technological. It is economic. Autonomous agents do not consume like humans. They multiply microtransactions, often under one dollar. In this tiny yet massive volume field, traditional payment systems become cumbersome, expensive, and sometimes absurd.

Stablecoins become the practical currency of machines

Keyrock highlights that stablecoins have established themselves as the default settlement layer for these machine-to-machine payments. The reason is simple: they allow very small amounts to be processed without crushing the transaction under fees. A payment of a few cents makes no sense if the fixed cost already approaches 30 cents.

This is where USDC takes a spectacular lead. According to the relayed data, more than 98% of the settlements made by AI agents were in USDC, Circle’s stablecoin. It is no longer just a technical preference. It is almost a structural dependency.

This dominance validates the use of stablecoins in the automated economy. But it also reveals a weakness. If a large part of the ecosystem relies on a single issuer, the risk becomes systemic. A regulatory problem, a technical interruption, or a loss of confidence around USDC could disrupt an entire segment of this new economy.

Behind innovation, an infrastructure battle is brewing

This market is not yet huge. But big companies already see it as a future economic highway. Coinbase, Stripe, Google, Visa, and other players are developing or exploring infrastructures capable of managing autonomous payments between software. The race is not only about AI agents. It is about the payment layer that will keep them alive.

In this logic, crypto no longer just seeks to replace traditional finance. It becomes a technical brick for a more automated Internet. AI agents can interact with Web3 protocols, launch tokens, execute transactions, pay for services, and manage wallets according to predefined rules.

But this evolution raises a delicate question: who is responsible when an autonomous agent pays, trades, or interacts with a protocol? The user? The developer? The platform? The smart contract? The more autonomous agents become, the more blurred the line between tool, economic actor, and operational risk will be.

However, adoption will not be decided only by speed or cost. It will also depend on security, compliance, and trust. Recent work on vulnerabilities of autonomous AI agents reminds us that these systems can become powerful but also exposed to manipulations difficult to anticipate.