#openledger $OPEN @OpenLedger

OPEN’s Utility Should Be Judged by Inference Demand, Not Exchange Attention

I think a lot of people are looking at OPEN the same way crypto usually looks at new AI projects: listings, trading volume, trending posts, and short bursts of attention. But none of that tells me whether the network is actually becoming useful.

What interests me more is a quieter question: when an AI model gives an answer, does OpenLedger become part of that process in a meaningful way?

That is why the recent push around Datanets, OpenLoRA, AI Studio, and Proof of Attribution matters to me. The project seems less focused on selling “AI hype” and more focused on building a system where inference can carry economic memory. Who provided the data? Which model shaped the output? Who deserves value from the result?

If real inference demand grows inside that system, OPEN gains weight naturally. If the activity only lives on exchanges, the utility is probably thinner than people think. Attention can make a token visible. Repeated usage is what makes it matter.