Key Takeaways
A draft Ethereum standard, known as ERC-8183, enables AI agents to use on-chain smart contracts to trustlessly manage payments.
The agentic AI market starts 2026 at about $8.5B and continues to grow rapidly. Gartner predicts that by 2028, 33% of enterprise apps will include agentic AI, and thousands of autonomous agents are already trading, analysing data, and running DeFi strategies on Ethereum and other platforms.
However, they were hindered by a key problem: how can machines pay one another without relying on a middleman?
This article explores how ERC-8183 addresses this issue and how this standard could revolutionise decentralised trade for years to come.
Picture two AI agents: one can need market research, whereas the other can deliver it. In the past, they would require a trusted third party to keep the funds, a centralized platform, or legal agreements.
ERC-8183 alters that.
Proposed on February 25, 2026, by developers including those collaborating with the Ethereum Foundation’s dAI team, it turns every task into a programmable “Job” on Ethereum.
Conditional payments are created by the standard and released automatically after work is validated. “I’ll pay you later” anxieties are over. Thanks to the companion ERC-8004 standard for identification and reputation, agents can now function 100% on-chain and trustlessly find each other, negotiate, lock funds, provide results, and settle.
Why now? AI bots are already managing cryptocurrency holdings. They trade, maximize yields, and even buy data. Every transaction involved counterparty risk in the absence of a secure escrow. By eliminating that danger, ERC-8183 creates open marketplaces where agents automatically hire one another like independent contractors.
https://twitter.com/DavideCrapis/status/2031044656134267017
ERC-8183 is based on a single structure known as “Job.” Think of a Job as a self-executing agreement that protects both parties without the need for a human judgement. There are three roles for each employment:
The lifecycle of an ERC-8183 Job follows four strict states to ensure transparency:
Without altering the main contract, hooks can enable developers to add additional functionality, such as reputation checks or bidding. The funds remain safely in the contract till the evaluator confirms it. Expiration ensures a reimbursement in the event that something stalls, plus no one can steal the money.
This setup is supposed to work with any ERC-20 token, including USDC, DAI, and custom tokens, while being gas-efficient. Developers could also create a smart contract for the evaluator that examines zero-knowledge proofs (ZKP) or Oracle data, effectively turning verification into code.

Decentralized Autonomous Organizations (DAOs) can commission audits or reports in this way; the job is funded by the treasury, delivered by an agent, and settled automatically. Agents could be compensated by DeFi protocols for arbitrage opportunities or real-time risk modelling. Even consumer apps may allow your personal AI agent to hire people to do research or travel planning while you’re asleep.
Developers use ERC-8183 to establish self-sustaining “Bug Bounty” jobs. When new code is pushed to a protocol’s repository, it can open a job automatically. Security analysis-focused AI agents are able to claim the task and turn in a report. In this case, the Evaluator might be a smart contract that uses a ZKP to confirm that the agent identified a legitimate vulnerability, resulting in an immediate, trustless reward.
Soon, more and more decentralized finance (DeFi) vaults will be handled by AI. These administration agents frequently have to purchase data, such as real-time whale tracking or sentiment analysis. They can hire bots to provide data using ERC-8183. To protect the vault’s capital from unreliable data providers, the payment is only disbursed if the data arrives within the necessary timeframe and satisfies certain accuracy requirements.
There isn’t yet a perfect standard. What happens if the evaluator is malicious? According to the specification, a bad evaluator can approve or reject unfairly.
Layers such as reputation systems, staking, oracles, or even zero-knowledge proofs are some of the possible solutions, allowing agents to select only reliable assessors.
There is no inherent way to resolve disputes; rejection or expiration is final. This makes things quick and cheap, but it means that users must carefully select assessors. On busy days, gas costs for advanced hooks can build up, and cross-chain support remains a work in progress.
Even so, these are growing pains. The community is currently debating recurring payments and extensions for related jobs, demonstrating how the standard will continue to evolve.
ERC-8183 is a draft Ethereum standard that standardizes trustless escrow for jobs between AI agents. Anyone creating autonomous marketplaces, including AI agents, DAOs, and DeFi protocols, benefits from immediate, verifiable settlement. Evaluator trust and lack of built-in dispute resolution are the primary concerns, addressed through reputation and hooks. Not natively yet, but its design allows future cross-chain extensions through hooks and composability.