To understand the opportunities of Walrus, we need to start from concrete, tangible data requirements rather than just discussing the abstract concept of "storage."

Let's do some calculations. A medium-sized Web3 social application with 100,000 daily active users generates about 20KB of data per user per day—this includes text, images, status updates, and these are very conservative estimates. The result? Over 700GB of data accumulated in a year. This isn't cold data that can be discarded at will; these are "live data" and "warm data" that require frequent reads, timestamp verification, and support cross-application calls.

In the context of blockchain games or AI protocols, the data volume skyrockets—terabytes, petabytes. Every dynamically generated item in the game, all AI training records, inference processes—these are not trash that can be deleted but the core value carriers of digital assets, which must be permanently preserved and always ready for audits.

These requirements are not fictional; they are real and in front of us. They point to a hard fact: the next generation of Web3 applications will inevitably be data-intensive.

Because of this certainty and the data growth trend driven by application scale, Walrus's tokenomics is built on a solid foundation. The value of $WAL is not just a market ornament nor simply a governance token.