The biggest narrative of 2026 is undoubtedly AI Agents. We are moving from chatbots that talk to agents that do. But these autonomous agents face a massive bottleneck: Data Gravity.
AI models are data-hungry. They need to read, write, and store massive datasets—training data, history logs, and context windows. Storing this data on high-performance blockchains like Sui or Solana is impossible; it’s too expensive. Storing it on centralized servers breaks the trust model.
The Solution: The @Walrus 🦭/acc Blob.
Walrus acts as the perfect "external hard drive" for AI Agents living on the Sui blockchain.
Speed: $SUI executes the logic instantly.
Storage: $WAL holds the massive "Blobs" of data that the AI needs to reference.
This architecture allows for "Decentralized Training." Imagine an AI model that is trained on a dataset stored as a #walrus Blob. The provenance of that data is verifiable on-chain, ensuring the AI isn't hallucinating or being fed corrupted info.
As the AI economy grows to trillions of dollars, the protocol that holds the data (the Blobs) will capture immense value. Walrus is positioning itself to be that layer.
