Everyone’s obsessed with bigger models. Smarter models. Faster models.
But almost nobody is asking the more practical question:
How do AI agents actually pay for things?
Not in theory. In production.
AI agents don’t open MetaMask. They don’t click “sign.” They don’t manage seed phrases. They need automated, low-friction, programmable settlement. Payments that happen instantly, invisibly, and within clear compliance boundaries.
That layer the payment rails for machines is where the real leverage sits.
This is the angle I see with @Vanar
If AI agents are going to book compute, access APIs, store memory, retrieve data, or trigger services autonomously, they need native financial infrastructure designed for machines, not humans. Whoever owns that infrastructure doesn’t just own a chain. They control the circulation system of the agent economy.
Think about it.
The entity that settles transactions between machines becomes something close to a “machine central bank.”
That reframes $VANRY.
It stops being just another public chain token and starts looking more like economic fuel for autonomous systems. Gas not just for transactions but for coordination between non-human actors.
Instead of chasing whatever shiny AI app launches next month, I’d rather look at the plumbing. Memory. Reasoning. Payment. The survival stack.
Because when AI products quietly start using a specific payment layer under the hood, it’ll already be too late to call it early.