The AI agent conversation has fixated on wallet custody when the real shift is happening in constraint architecture. We're watching the emergence of bounded autonomous systems that operate within predefined parameters—not because of technical limitations, but because unbounded agents create liability nightmares for their operators.

This constraint layer is becoming the chokepoint. The entities that control how AI agents are bounded—through context engineering, operational limits, and decision trees—are positioning themselves as the new financial infrastructure. It's not about who holds the keys to agent wallets; it's about who defines what those agents are allowed to do with those keys.

The early deployment patterns reveal something crucial: institutional adoption isn't waiting for regulatory clarity on AI agents. They're building constraint systems that can adapt to whatever rules emerge, creating de facto standards through operational precedent.