Most people still look at AI tokens through the same old lens: bigger models, faster agents, more automation. But that misses the real bottleneck. If an AI system creates value, the market still needs to know where that value came from, who contributed the data, who deserves credit and who should be paid.

That is why @OpenLedger caught my attention. $OPEN is not just another generic AI token. The stronger angle is attribution: making data ownership, model contribution and agent activity easier to verify instead of leaving everything inside a black box.

This matters because the next wave of AI will not be only about chatbots. It will be about agents using datasets, executing tasks, producing outputs and moving value across different systems. Without proof of contribution, that economy becomes messy: copied datasets, unpaid creators, unverifiable claims and weak accountability.

#OpenLedger fits into that gap. It gives the AI economy a cleaner way to think about provenance, ownership and trust. To me, attribution may become as important as computation itself.