During the California gold rush, most miners went home broke.
The ones who made generational wealth? They sold tools. They owned railroads. They controlled supply chains.
Today’s AI boom feels similar.
Everyone is obsessed with models. Parameters. Speed.
Reliability is.
When AI agents begin handling real economic tasks managing liquidity pools, executing on-chain settlements, interacting with RWAs the conversation changes.
It won’t be: “How intelligent is it?”
It will be: “Can it operate continuously without breaking?”
This is where infrastructure becomes everything.
The current public chain architecture was not built for persistent AI workflows. Stateless design works for transfers. It doesn’t work for evolving agents.
That gap is not philosophical. It’s economic.
Every time an AI loses context, resets state, or fails continuity productivity collapses.
And productivity is the only thing enterprises care about.
This is why I’ve been studying
@Vanarchain Vanarchain more closely.
Not because of hype. Not because of short-term price movement.
But because it is positioning itself as a continuity and execution layer.
If AI becomes a workforce, then protocols that ensure stable execution become revenue infrastructure.
And infrastructure compounds.
Switching costs grow. Developer dependency increases. Ecosystems harden over time.
At ~$0.006,
$VANRY sits in a market phase where attention is low and volatility is compressed.
But historically, infrastructure narratives are priced last.
First come memes. Then speculation. Then usability. Finally stability.
If 2026 becomes the year AI agents move from demos to deployment, the question won’t be which model shouted the loudest.
It will be: Which protocol made AI economically viable?
Infrastructure rarely trends first.
But it tends to survive longest.