AI narratives are slowly shifting from pure scale hype to deeper questions around ownership and value.
Most projects keep pushing bigger models and full automation stories but they rarely talk about something simple the people who actually supply the data usually don’t see any upside when these systems scale.
@OpenLedger is trying to flip that idea with attribution and Payable AI where contributions aren’t lost in the background. Everything stays traceable, and value is meant to flow back to the source instead of just the model owners.
From a trader’s point of view, this is where the narrative starts to change. It’s not just about hype cycles anymore but about whether a project can build real incentive alignment adoption and trust that actually holds up over time.
If this model works in practice, it could quietly reshape how value is distributed across the entire AI economy.