I think one of the biggest misconceptions in AI right now is the idea that the winning model will be the one that knows “everything.”
The more this industry evolves, the less believable that feels to me.
Because real economies don’t operate on general knowledge.
They operate on specialization.
A hospital, a trading desk, a logistics network, and a gaming ecosystem all require completely different forms of intelligence, context, and execution.
That’s why I’m starting to think the next AI economy may look less like one giant universal brain…
and more like networks of highly specialized intelligence systems coordinating together.
This is also why the infrastructure direction behind @OpenLedger and $OPEN feels interesting.
The project isn’t only focused on AI outputs.
It’s exploring systems around: specialized data environments, attribution, modular intelligence, agent coordination, and executable AI infrastructure
That matters because specialized intelligence doesn’t appear out of nowhere.
It comes from contributors, context, environments, and continuous interaction with real systems.
And honestly, I think attribution becomes critical once AI starts specializing.
Because whoever contributes valuable intelligence to these ecosystems probably won’t want to disappear behind centralized models forever.
The internet monetized distribution.
AI may monetize expertise itself.
That shift could become much bigger than people expect.