The Web3 space already has no shortage of blockchains. Faster block times and higher throughput are no longer rare, yet many new L1 launches struggle to gain meaningful usage. In an AI driven era, the challenge is no longer about speed alone, but whether an infrastructure is designed for how AI systems actually operate.
Most new L1 are built with general purpose transactions in mind. This approach works well for human driven interactions, but AI systems function differently. They require persistent memory, structured context, reasoning, automation, and reliable settlement that can operate continuously without manual intervention.
This difference highlights the gap between AI added and AI first infrastructure. Chains that attempt to add AI later often treat it as an application feature. Vanar @Vanarchain , by contrast, approaches AI as a core design consideration. From my perspective, this architectural choice matters because retrofitting intelligence after launch is far more complex than building for it from the start.
Vanar demonstrates this approach through live products rather than narratives. The Neutron layer introduces semantic memory at the infrastructure level, while products like myNeutron show persistent context and structured knowledge can be applied in real scenarios. This makes AI functionality practical rather than theoretical.
AI systems also need reasoning and action, not just memory. Within Vanar's ecosystem, Kayon focuses on reasoning and explainability, while Flows illustrates how intelligence can translate into safe, automated execution. These components address challenges that many new L1s only begin to consider after they are already live.
Economic readiness is another factor that affects whether and L1 can support AI usage. AI agents do not interact with blockchains the same way humans do. They depend on consistent settlement mechanisms that can support ongoing activity. In this context, $VANRY underpins usage across the intelligent stack rather than short term narratives.
Personally, I find it interesting that the industry is shifting from launch metrics to long term readiness. With base infrastructure already widely available, proving AI readiness through working products may matter more than launching new chains. Do you think AI first design will become the deciding factor for the next generation of L1s?
