I think the market is still misunderstanding OpenLedger.
Most people look at AI projects and focus on the same things model quality, compute power and hype. But after spending time studying OpenLedger, I think the more important question is who actually captures value when AI scales.
Right now AI is deeply extractive. People contribute data, feedback and domain knowledge, yet almost none of that value flows back once models become profitable.
@OpenLedger feels like an attempt to redesign that structure through attribution and contribution based economics.
The interesting part is that it’s not trying to compete directly with the biggest AI labs. It’s building the economic layer around intelligence itself.
If that works, contribution networks may eventually become more valuable than the models alone.
