One aspect of @OpenGradient that seems underappreciated is how it could influence future demand rather than current demand. Most market participants evaluate infrastructure based on what is already happening today, but infrastructure is usually built ahead of the activity it eventually supports. As AI systems become integrated into applications, workflows, and autonomous networks, the amount of machine-generated decision-making is likely to increase far faster than most people expect. That creates a growing need for environments where intelligence can be deployed, accessed, and interacted with reliably. The hidden layer here is not AI adoption itself but the demand created by AI-driven economic activity. Markets often focus on where value is produced while overlooking where future dependency is forming. If developers and applications increasingly build around AI-native workflows, the infrastructure supporting those workflows may capture value from the growth of the ecosystem rather than from any single application. My takeaway: the market may be pricing current AI trends while underestimating the infrastructure required for the next stage of AI expansion.

$OPG #opg #OPG