When discussing storage protocols, many people only think of the technical costs, but there's a detail worth noting: as on-chain ecosystems move into multi-party collaboration, the most likely point of failure is often not the smart contract itself, but data management.

Imagine this scenario—who uploaded the file? When was the timestamp? Has it been altered? Are the versions received by different teams the same? Small groups can still coordinate through chat, but once the ecosystem expands, this kind of "verbal agreement" becomes the root of disaster.

This is where the value of the Walrus protocol comes into play. Essentially, it provides the entire ecosystem with a "shared draft repository"—key materials like documents, rules, lists, assets, and training data can all be stored within a single verifiable storage framework. In other words, the collaboration mode shifts from "I trust a certain person" to "We all align on the same factual record."

When disputes arise, the focus of discussion completely changes: no longer about "You say you didn't change the data," but directly referencing the on-chain historical records, with evidence laid out clearly.

What does this mean for tokens? It's not just the commercial value of storage costs, but more importantly, a significant reduction in ecosystem collaboration costs. Once more applications start storing core data within it and build business processes around it, this tool has the potential to upgrade into an infrastructure layer. Growth of such underlying protocols doesn't rely on single viral moments but on repeated reuse, gradually becoming the default option.