Web3 CMO Stories

From Burning a $95,000 Banksy To Building Online Trust | S6 E39

Joeri Billast Season 6

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The web is starting to feel like a hall of mirrors. With AI cranking out endless “good enough” text, images, and video, it’s getting harder to know whether you’re reading a real fact, seeing a real person, or walking straight into a scam. That’s why I sat down with Anthony Anzalone, better known online as Burnt Banksy, to dig into a question that’s becoming impossible to ignore: how do we prove what’s real on the internet without sacrificing privacy?

Anthony’s story starts with a now-famous act of digital ownership provocation: buying a $95,000 Banksy, burning it, and then selling the work as an NFT for around $400,000. From there, we trace the deeper theme behind the headline, verification. Crypto proved that when you can verify money and transactions, you can build entire new markets on top. Anthony argues the next frontier is verified information, the kind of trustworthy data that can help humans, brands, and AI systems operate without drowning in fraud, deepfakes, fake credentials, and bot traffic.

We unpack how Verona (evolving from earlier infrastructure work on chain abstraction) aims to become an intelligence layer for AI agents, what an AI agent actually needs to know before we let it act on our behalf, and why zero-knowledge proofs matter for real-world privacy. We also get into the unglamorous truth about adoption: people don’t buy “blockchain,” they buy outcomes like less risk, safer onboarding, and higher trust. If you care about AI trust, identity verification, data privacy, and a future internet with less “AI slop,” you’ll get a lot out of this conversation.

This episode was recorded through a Descript call on September 8, 2026.

Read the blog article and show notes here: https://webdrie.net/from-burning-a-95000-banksy-to-building-online-trust/

If the ideas resonate, subscribe for more, share this with someone who worries about online trust, and leave a review to help more listeners find the show.

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