AI doesn’t need faster blocks.
AI needs reliable data.
That’s where @Walrus 🦭/acc fits perfectly 🎯
AI applications require more than compute. They need persistent access to massive datasets — models, training data, inference outputs. All of this must be stored reliably, verifiably, and without centralized points of failure.
🧠 Walrus doesn’t try to be a universal L1.
It complements the ecosystem by providing a storage layer that is fault-tolerant and economically incentivized — making it a natural match for Web3 + AI infrastructure.
🔗 Once again, $WAL is the key mechanism:
storing data means taking risk.
And risk without economic balance doesn’t scale.
📈 When AI projects start demanding decentralized storage, Walrus is already prepared.
No slogans.
No “revolution” marketing.
🧩 Final takeaway:
data is the new scarcity,
and those who build infrastructure around it
usually win not first… but last.
