When AI transitions from a mere tool to an autonomous agent, the stakes change completely. Trust stops being a nice-to-have and becomes fundamental.

Here's the thing most AI systems miss: they build trust implicitly—through blind faith in data inputs, execution processes, and final outputs. It's all backwards.

Once AI starts operating independently, that model crumbles. You can't afford implicit trust anymore. The architecture itself must bake in cryptographic verification, transaction transparency, on-chain validation. Every decision, every output, every step needs to be auditable.

This is where blockchain-based AI infrastructure differs. Rather than hoping data isn't tampered with, you design systems where tampering is mathematically impossible. Rather than trusting a centralized entity, you distribute verification across the network.

The future of AI in Web3 isn't about slapping AI onto existing chains. It's about architecting AI stacks where trust is structural, not aspirational.