Spent some time digging into OpenLedger's Proof of Attribution layer today. $OPEN . #OpenLedger @OpenLedger The part that made me pause wasn't the pitch — it was the gap between what attribution promises and what actually drives the current chain activity.

Around May 23rd, $OPEN clocked roughly $13.43M in single-day volume — decent for a sub-$60M mcap token. But scroll through who's actually transacting and it's mostly exchange arbitrage and airdrop-adjacent wallets. The datanets, the Proof of Attribution flows, the inference-triggered reward routing — that whole "YouTube for AI data" pipeline… still pretty quiet on-chain. The volume is there. The use case volume isn't, not yet.

Hmm. That's not a knock exactly. The PoA system is genuinely interesting: models consume datanet inputs, attribution scores track influence, OPEN rewards flow back to contributors without manual accounting. Elegant on paper. But right now the network is essentially being stress-tested by speculators, not data contributors. The infrastructure runs ahead of the economy it's supposed to reward.

I contributed a small test dataset through one of the datanets last week just to feel the friction. Registration was fine, tagging was clunky, attribution dashboard was… sparse. Not broken — just early. Which made me wonder if the "Payable AI" framing is doing the heavy lifting that actual contributor volume should be doing.

So the open question I keep sitting with: does Proof of Attribution become a real economic primitive before the hype cycle exhausts the people who'd actually use it?