While testing data contribution flows in the CreatorPad task for Why Data Ownership Will Define the Next Era of Artificial Intelligence, I noticed how OpenLedger ($OPEN ) #OpenLedger @OpenLedger quietly defaults users into broad dataset pooling while advanced options for granular permissioning and revenue shares sit behind extra setup steps. In practice, most early interactions I observed funneled contributions into shared pools with delayed or averaged payouts rather than immediate, traceable ownership claims, even though the narrative centers on individual control. One design choice stood out: the friction in switching from default aggregation to personal data vaults, which favored quick ecosystem growth over seamless user sovereignty. It left me wondering whether true ownership will scale through simplicity for everyday contributors or remain an opt-in layer mainly used by the more technically inclined, subtly shaping who captures value as AI models train on these networks.