One angle that doesn’t get discussed enough in AI conversations is compliance.
If AI agents are going to move value in the real world not just on test networks they can’t operate in a regulatory vacuum. Payments require structure, reporting, and reliable settlement rails.
That’s where infrastructure design really matters.
From my perspective, intelligence without compliant settlement isn’t scalable. You can build the smartest reasoning engine in the world, but if it can’t interact safely with global payment systems, its utility stays limited.
That’s why I find it interesting how @Vanarchain treats payments as infrastructure rather than an after thought. Settlement isn’t positioned as a feature it’s embedded into the architecture.
If AI agents are going to participate in economic activity, they need rails that work beyond theory.
For me, that’s when AI shifts from experimental to practical.
And practical systems are the ones that tend to survive market cycles.