VeChain CEO says blockchain can secure AI agents’ identities and reputations
VeChain co‑founder Sunny Lu argues that blockchain is the ideal infrastructure for verifying AI agents’ trustworthiness, outlining a decentralized credibility system for his VeWorld.ai platform.
Key takeaways
- VeChain CEO Sunny Lu proposes a blockchain‑based “decentralized credibility system” to authenticate AI agents.
- The VeWorld.ai platform would issue digital passports for agents and record reputation data on VeChain’s ledger.
- Lu likens the emerging AI‑agent marketplace to early mobile app stores, enabling non‑developers to monetize expertise.
During a recent appearance on Cointelegraph’s Chain Reaction show, VeChain co‑founder and chief executive Sunny Lu said that autonomous AI agents will need a new accountability framework to earn public trust, and that blockchain offers the perfect solution. Lu highlighted his company’s VeWorld.ai platform, which aims to give each AI agent a digital “passport” and to track the reputation of both the agents and their creators on the VeChain public ledger.
A decentralized credibility system
According to Lu, a decentralized credibility system would store identity data, performance metrics, and reputation scores on-chain, making them tamper‑proof and transparent. Smart contracts could automatically settle transactions between agents or between agents and human users, removing the need for a central arbiter. Lu described the system as a “new accountability system” that would allow agents to operate continuously while maintaining verifiable trust.
VeWorld.ai and the emerging AI‑agent marketplace
VeWorld.ai is being built as an agent‑creation platform that leverages VeChain’s blockchain infrastructure. Lu said the platform would let developers and non‑technical experts alike build and deploy agents that can perform tasks ranging from personal assistance to inventory management. He compared the potential market to the early days of mobile app stores, where individual creators could distribute and monetize software without large gatekeepers.
Practical experiments and broader implications
Lu shared several pilot projects he has run with AI agents: an educational companion for his daughter, a health‑support agent for his mother, and a virtual employee that handled purchasing, inventory, sales and operations for a shop in Milan. While Lu is optimistic, he acknowledged that other industry voices have warned about the risks of relying on third‑party AI services, especially in high‑stakes areas such as crypto trading.
What to watch next
Observers will be looking for early adopters of VeWorld.ai and any real‑world use cases that demonstrate the credibility system in action. Additional scrutiny may arise if regulatory bodies begin to address AI‑agent accountability, potentially shaping how blockchain solutions are integrated into AI ecosystems.

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