Regarding the development logic of Walrus and WAL, there is a common question: does the application scenario start first, or does the price increase happen first? There is a cyclical effect between these two, but based on current progress, both are indeed advancing simultaneously.

As the price heats up, actual applications are also gradually expanding. True validation comes from the genuine choices made by project teams—not just whitepaper promises, but actual migrations. The decentralized AI computing platform io.net has chosen to use Walrus for encrypted model storage, reflecting that the project has indeed solved real problems in large file storage. Another example is Fat Penguin NFT, whose entire digital media library has migrated from centralized services to Walrus, with plans to expand to a 6TB data scale. These all indicate that market participants are willing to pay for decentralized storage solutions.

From an economic design perspective, Walrus's model has unique features. Users pay storage fees with SUI, a portion of which is permanently burned. This burn mechanism creates deflationary pressure within the entire SUI ecosystem, tying interests to the main chain. This design makes the success of Walrus essentially a part of the prosperity of the SUI ecosystem.

The long-term story of WAL depends on a key question: how many AI projects, NFT platforms, and social media platforms will choose to store data on Walrus? If application scenarios continue to expand and the number of adopters increases, the ecosystem story has room for imagination; otherwise, it may face adjustments in expectations.