remember watching a few infrastructure tokens rally after major exchange listings and thinking institutional adoption would naturally follow liquidity. Over time that started to look different. Liquidity can attract traders, but institutions usually ask a different question: can this system produce evidence they can rely on months from now, not just excitement today?That is where OpenGradient starts to look more interesting to me. At first I assumed it was simply another decentralized AI network competing on performance. Now I think it may be competing for institutional acceptance instead. If operators bond capital, execute inference, and every result can be independently verified, the network is not only selling compute. It is selling accountability. Those are very different markets.