VeChain says AI agents could drive blockchain trust adoption

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VeChain: AI to drive blockchain trust

Highlights

VeChain CEO Sunny Lu asserts blockchain is crucial for verifying AI agent identities and tracking reputations, referencing the VeWorld.ai platform's digital passport and decentralized credibility system.
Lu highlights agent-building tools on VeChain could democratize software creation and monetization, enabling non-developers to launch businesses using personal or professional expertise.
Animoca Brands chairman Yat Siu warns that reliance on external AI agent providers introduces risk for crypto traders, who may build strategies around uncontrollable third-party services.

Identity systems and agent accountability

As reported by Cointelegraph, Lu says autonomous AI agents working around the clock need a new accountability system to earn public trust. Speaking on Wednesday during the Chain Reaction show, he describes blockchain as the "perfect solution" for verifying agent identities, tracking reputations and supporting trusted interactions.

Lu links that argument to VeWorld.ai, an agent-building platform that uses VeChain's blockchain. In his view, agents would carry digital passports within a decentralized credibility system that records both their own reputation and that of their creators, while smart contracts could help settle transactions between agents or between agents and people.

VeChain is already pursuing adoption in other use cases, including supply-chain tracking and food traceability projects. Lu's comments position AI agents as a potential next growth area for blockchain infrastructure beyond those enterprise applications.

Broader commercial use and sector risks

Lu also says AI agents could help people turn specialist knowledge into businesses or services, widening software creation beyond developers. He compares the opportunity with mobile app stores, arguing that agent-building tools could let people monetize professional expertise, local knowledge or hobbies without needing deep programming skills.

He cites personal experiments including an educational agent for his daughter, a support agent for his mother's daily routine and recovery, and a virtual employee that helps manage purchasing, inventory, sales and operations for an acquaintance's shop in Milan. The examples suggest agent tools could expand into consumer support, small business operations and niche advisory work.

At the same time, other crypto industry participants are flagging risks around dependence on outside agent providers. In an October interview with Cointelegraph, Animoca Brands chairman Yat Siu says crypto traders could deploy AI agents continuously, but warns that users may build trading strategies around services they do not control.

AI agents in large U.S. companies are delivering early efficiency and growth gains, but most executives still don’t view them as transformational yet, our publication previously reported. The survey findings also highlighted that CEOs expect AI to drive hiring and retraining alongside continued investment in AI infrastructure, underscoring that real impact depends on redesigning processes and modernizing data and workflows.

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