Chain abstraction is solving the wrong problem for AI workloads. VOOI, Tria, and others are building unified balance systems that hide chains from users, which works great for trading and DeFi. But AI compute needs specialized infrastructure that can't just aggregate existing networks. When you're coordinating millions of inference requests, distributed storage at petabyte scale, and real-time model training across nodes, generic abstraction layers create bottlenecks. You need purpose-built consensus that prioritizes compute verification over financial transactions. That's the 0G thesis: infrastructure designed for AI from day one, not DeFi rails trying to handle machine learning as an afterthought.