Most people still think openledger is just another AI narrative token reacting to hype cycles, but that framing completely misses what’s actually being built under the surface. I’ve been digging into how they’re positioning $OPEN as a liquidity layer for AI data, models, and agents, and the shift is subtle but important: value isn’t just being created by AI output anymore, it’s being priced at the point of contribution. The market sees “AI blockchain” and assumes speculation, but what’s actually forming is a system where datasets, model training inputs, and agent execution can be monetized through structured attribution flows. That matters because it turns fragmented AI participation into something closer to a financial market for intelligence itself. I think most people are underestimating how big that shift is, because they’re still focused on model quality rather than value routing. From an investor lens, if liquidity starts forming around contribution instead of just usage, then OPEN stops behaving like a narrative token and starts behaving like infrastructure exposure to AI economies. This isn’t about AI hype. It’s about building the pricing layer for machine intelligence economies.
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What will matter more for AI value capture?