VeChain CEO Sunny Lu Calls Blockchain the Perfect Solution for AI Agent Trust

A passport for every agent

VeChain (VET) co-founder and CEO Sunny Lu argued that blockchain is the “perfect solution” for the trust problem standing between autonomous AI agents and mainstream adoption. Lu made the case in an interview published Wednesday, saying agents that operate around the clock without direct human supervision will need a “new accountability system” before the public accepts them making decisions, and settling payments, on their own. “The perfect solution is a blockchain,” he said. In his telling, the demand for verification becomes the driver of the next adoption cycle: agents create the need for systems that confirm identities, reputations and payments, and the record of all three has to sit somewhere no single party controls. Trust, in his account, is the missing input for agent-scale commerce. That framing puts identity, reputation and payment rails at the center of VeChain’s pitch to the AI industry, services that translate into transaction volume if agent activity scales.

The argument arrived with a product attached. Lu was discussing VeWorld.ai, an agent-building platform that runs on the VeChain network. Under the model he described, every agent would carry a digital “passport” and operate inside a “decentralized credibility system” that tracks its own reputation and that of its creator. Smart contracts would handle settlement, so a transaction between two agents, or between an agent and a person, executes without a trusted intermediary in the loop. He framed the platform as an extension of VeChain’s longer campaign to win enterprise usage for its Layer 1 blockchain protocol, which the company has already pointed at supply-chain tracking, including food traceability projects that record the movement of real-world assets on-chain. The interview carried no user counts, transaction figures or rollout timeline for VeWorld.ai, so the platform’s traction cannot yet be measured from the record.

From app stores to agent builders

Lu paired the trust argument with a market argument: AI agents could help people monetize their own expertise, turning specialist professional experience, local knowledge or hobbies into services without writing code. He compared the opportunity to mobile app stores, which allowed individual developers to distribute and monetize their work to a global audience; agent-building tools, in his view, hand the same market to people whose skills lie outside programming. The parallel places the addressable user base for agent platforms closer to the app economy than to professional developer tools. App stores, in that framing, were marketplaces as much as distribution channels: one builder could reach users and get paid, and agent platforms repeat that opening for a far wider group.

He backed the claim with three experiments from his own life: an educational agent built for his daughter, an agent that supports his mother’s daily routine and recovery, and a virtual employee managing purchasing, inventory, sales and operations for an acquaintance’s shop in Milan. The Milan agent manages the back office of an actual shop, not a demo. Each of the three encoded a specific human responsibility into software that runs continuously, from tutoring to care logistics to small-business administration, and none was presented as requiring a development team.

The counterpoint came from inside the industry. In an October interview, Animoca Brands chairman Yat Siu warned that while crypto traders could put AI agents to work around the clock, users risked building their trading strategies around services they do not control. Siu’s concern is dependency on the agent provider itself: a trader whose strategy runs on a service he cannot inspect has outsourced judgment to an opaque counterparty, the exact dependency a verifiable credibility layer is meant to make auditable.

For VeChain (VET) holders, the interview is a positioning event, not a market one. The primary record here is the interview post itself, and it states a thesis rather than a launch: VeWorld.ai exists on the network, Lu believes agents need verifiable identity and reputation, and VeChain wants to supply both. What that record does not contain is any deployment number, revenue figure, partnership term or token mechanism, so none should be inferred from it. Our live monitoring shows VET down 5.4% over the past 24 hours, which means traders have not treated the remarks as a near-term catalyst; readers tracking levels can follow our VET technical analysis. VeChain is bidding to become the trust layer for autonomous agents, and our blockchain and AI synergy guide maps the technical questions that bid depends on. Whether agents actually need a decentralized credibility system is an empirical question, and Lu has staked the network’s next cycle on the answer being yes.