Tech giants like Google and Amazon are doing business predicting where society is heading. Making Movement Developing the development of AI Agent– Auxiliary assistants allowed to zip the internet completed complex tasks on behalf of human overlords and other machines.
The push to develop a formidable AI agent economy is not yet complete. However, experts predict that robots will eventually be loosened in large quantities to efficiently trade both the existing economy and each other Productivity and output It is comparable to that of a human being.
The main issue that delves into the development of the AI agent economy is that infrastructure will most drive this explosion. Increasingly, the top minds of Silicon Valley and Crypto are coalescing around a single answer to its favorable questions: Ethereum.
Ethereum core developers recently concluded that the network is uniquely positioned to become the foundational layer of the AI agent economy. This is payment rails, identity verification and trust given its ability to provide three key elements that are currently lacking in the ecosystem.
The team is confident that within a few years, Ethereum will not only become the basis of the AI agent economy, but also that AI agents will become the core user base of the network.
“For us, it’s a very important field. It’s a strategic area,” said Davide Crapis, an AI-focused Ethereum Core developer. Decryption this week.
Crapis said he believes that within three to five years, the majority of Ethereum traffic will come from machines.
ERC-8004
Earlier this month, Crapis made his debut ERC-8004: The proposed interface of Ethereum that standardizes the way AI agents discover each other on a network and establishes sufficient trust to engage in economic interactions.
This proposal corrects what Crapis sees as a major flaw in existing ecosystems for agent-agent interaction. Google announced it in April agent2agent The protocol provides seamless collaboration between AI agents and “Drive unprecedented levels of efficiency and innovation. ”
However, the framework has its drawbacks. For one thing, payments are not currently enabled. This is an essential element of a truly autonomous robotic economy. Second, we don’t provide agents with a way to identify and trust each other on the open internet. In other words, in practice, protocols can only be used effectively to promote the interaction of agents within a single organization in a task that does not involve financial transactions.
By its nature, Ethereum can easily fill these fundamental gaps, Krapis said. Payment issues are resolved instantly by on-chain transactions that AI agents can already complete. About identity and trust: It’s Ethereum bread and butter. For example, NFTs provide a secure means of establishing their own digital ID. ERC-8004 provides a simple framework for how AI agents validate each other’s identities in a chain.
And if Ethereum provides that framework to support the AI agent economy, it’s not like blockchain networks will compete with something like Google. On the contrary, the Silicon Valley giants are actually backing Crapis’ Ethereum proposal. Jordan Ellis, one of the Google employee cores behind the Agent2Agent protocol, is a co-author of ERC-8004.
“This is a signal for me that it’s not too early,” Crapis said of the collaboration. “Even in the traditional AI space, people are considering agent-to-agent payments and agent-to-agent identity.”
Strong stakeholders in the fast-growing AI agent economy want to standardize their ecosystem as universally as possible to increase its potential scope and ease of navigation. These companies may inevitably not be crypto maximalists. But what are the drawbacks if blockchain networks solve the problem much easier than other approaches?
The perfect use case?
Over the past decade, the Crypto project has struggled to reach large-scale adoption as it failed to convince mainstream consumers that the pain of navigating complex blockchain networks deserves financial incentives and benefits of privacy.
However, in an age of looming robotics, Crypto’s marketing struggles can be far less liable. After working on AI-related projects for several years, Crapis, now returning to the Ethereum Foundation, has asserted that when the AI Agent Economy is active, robots will make senseless choice of the most efficient terrain for completing transactions, and that this best market will undoubtedly become Etheum.
“Our challenge is making (Ethereum) more UX-friendly because humans try to change their behavior,” says Crapis. “But if the user is an agent or machine, it’s pretty easy. The robot has no problem remembering the private key.”
Traditional economies are built for humans and designed to examine human activities. (What is the name of your mother’s maiden?) Meanwhile, Ethereum appears to have been built for robots. Its long-perceived responsibility – the complex user experience of the network – ultimately revealed itself as a boon in the age of the agent-dominated Internet.
Even among other blockchains, the Ethereum team feels the network’s signature multilayer The structure is poised in its own way to absorb a large amount of AI agent traffic that is likely to occur in the coming years.
The basic Ethereum blockchain provides basic security and stability to handle floods and specifically validate high stake transactions, but the constantly expandable, inexpensive, and rapid legion of the Layer-2 network can handle huge amounts of everyday small settlements.
0/Autonomic Agents are likely to become Ethereum’s biggest power user.
Guest threads from @kleffew94 and @murrlincoln, long forgotten HTTP status code, “402 payment required” on how you can unlock new frontiers in Ethereum: Agent Commerce. 🧵
– Ethereum (@ethereum) August 13, 2025
Other blockchains will be a very difficult time to put the weight of the entire AI agent economy on their shoulders, Crapis said.
“With current design, Solana cannot maintain the economy of machinery,” he said, giving an example of Ethereum’s rival network. “When these machines start using them, they don’t know how much activity will come in the chain.”
Software developers predict that when the AI agent economy is fully empowered, they will redefine the capabilities of Ethereum, just like distributed finances.defi) Return to 2020.
Getting the Ethereum Developer Ecosystem to agree to the criteria for agent-to-agent encounters is the first important step to preparing for your day. Crapis said it intends to fine-tune the ERC-8004 over the next few months to get feedback from community members.
However, the standards are finalized in a short order to prepare for the arrival of an army of intelligent crypto-equipped robots.
“We can’t predict when this takeoff will happen,” Crapis said.
