Sui's approach goes beyond just scaling for AI—it's fundamentally rethinking the data infrastructure that powers it.

Here's the core issue: AI Agents are increasingly scraping web content, training on creator work without permission, compensation, or even credit. This creates a broken system where creators lose control of their intellectual property, builders can't verify ownership claims, and the entire ecosystem lacks accountability.

This is where blockchain's data layer becomes critical. By anchoring data provenance, ownership rights, and attribution records on-chain, we can establish clear frameworks for compensation and attribution. Creators gain verifiable proof of their work, builders get transparent ownership models, and AI systems operate within defined legal and ethical boundaries.

It's not just about speed—it's about rebuilding trust in how data flows through the AI economy.