paradox. The more precisely a network proves who created value, the more difficult it becomes for markets to treat that value as fluid capital. @OpenLedger $OPEN #OpenLedger Most people assume attribution and liquidity naturally strengthen each other, but they often pull in opposite directions. Markets depend on
simplification because assets must move fast enough to be repriced continuously across the network. Provenance systems do the opposite: they attach expanding layers of verification, contribution history, and dependency tracking to every dataset, model, and agent. That extra precision increases trust, but it also risks slowing
circulation. Once assets become too heavy with proof, markets stop optimizing for movement and start optimizing for validation. That shift matters more than most people realize. In AI economies, value is not created only by ownership; it is
created by the ability of owned assets to remain tradable under constant repricing pressure. The implication is clear: the protocols that survive will not be the ones proving the most ownership, but the ones preventing ownership from becoming friction.
