Most AI tokens are gas tokens dressed up as something bigger. You pay fees, you get governance rights on a protocol nobody uses, and that's the whole story. I spent time going back through $OPEN 's actual utility structure this week, and it's more layered than that.

The token runs three things simultaneously: gas for every on-chain action, the fee currency for model inference and training, and the reward mechanism that pays data contributors through Proof of Attribution. That third function is the one I keep coming back to. It isn't passive. Every time a model draws on a contributor's data, $OPEN moves. Automatically, on-chain, no intermediary.

That's not governance theater. That's a working economic loop if the models are being used. And that's the honest caveat. Circulating supply sits around 290 million tokens right now, with a billion total in the system over time. The team and investor cliff hits in September. Whether real inference volume exists by then to absorb what's coming is the question I can't answer today.

I'm watching on-chain activity, not price. That's what will tell me if the loop is actually spinning.

$OPEN #OpenLedger
@Openledger