I used to think AI infrastructure would mainly compete on compute speed and model quality.
Now I’m starting to think the bigger bottleneck is trust around contribution itself.
Who owns the data?
Who verified it?
Who gets rewarded when models keep generating value from it months later?
That’s why @OpenLedger feels different to me compared to most AI narratives. The system design is less about hype and more about keeping attribution, settlement, and data usage connected through one flow. Datanets, Proof of Attribution, and $OPEN utility all push toward repeat participation instead of temporary attention.
There’s still risk of course. Verification layers and external dependencies always create pressure points if usage scales too fast. But if OpenLedger keeps reducing friction while maintaining transparent reward loops, the network effect becomes much harder to replace later.
Narratives bring users once.
Useful coordination systems bring them back repeatedly.