@OpenGradient #opg $OPG through the AI narrative alone, but I think the more important story is the trust layer it introduces. AI is becoming a core component of on-chain applications, yet most models still operate as black boxes where outputs must simply be trusted. OpenGradient focuses on verifiable inference, allowing AI execution to be cryptographically proven rather than assumed. That changes the role of AI from an external service into infrastructure that blockchains can reliably coordinate around.
The hidden value isn't just faster AI or more models. It's the reduction of coordination costs between developers, protocols, and autonomous agents. When AI outputs become auditable, builders can design applications that depend on machine intelligence without introducing a centralized trust assumption. That creates stronger composability, better execution guarantees, and a foundation for future AI-native financial and governance systems.
Markets often reward visible adoption before recognizing invisible infrastructure. If verifiable AI becomes a requirement instead of a premium feature, projects solving this trust problem could capture demand that isn't reflected by current narratives. That's the layer I'm watching most closely