To understand Walrus's opportunity, you need to start from concrete, tangible data requirements, not just vague talk about "storage" concepts.
Let's do the math. A mid-sized Web3 social application with 100,000 daily active users, where each user generates 20KB of data per day—text, images, status updates—that's already an extremely conservative estimate. The result? Over 700GB of data accumulated in just one year. This isn't cold data that can be carelessly discarded; this is "hot data" and "warm data" that requires frequent reads, timestamp verification, and cross-application integration support.
Scale this to gaming or AI protocol scenarios, and the data volume skyrockets—TB and PB scale. Every dynamically generated item in a game, every AI training record, every inference process—these aren't disposable garbage, but rather the core value carriers of digital assets that must be permanently preserved and available for audits at any time.
These requirements aren't fictional; they're real problems staring us in the face. They point to one hard fact: next-generation Web3 applications are inevitably data-intensive.
Precisely because of this certainty and application-driven data growth trend, Walrus's tokenomics are built on solid ground. The value of $WAL is not merely a market decoration, nor is it just a simple governance token.
To understand Walrus's opportunity, you need to start from concrete, tangible data requirements, not just vague talk about "storage" concepts.
Let's do the math. A mid-sized Web3 social application with 100,000 daily active users, where each user generates 20KB of data per day—text, images, status updates—that's already an extremely conservative estimate. The result? Over 700GB of data accumulated in just one year. This isn't cold data that can be carelessly discarded; this is "hot data" and "warm data" that requires frequent reads, timestamp verification, and cross-application integration support.
Scale this to gaming or AI protocol scenarios, and the data volume skyrockets—TB and PB scale. Every dynamically generated item in a game, every AI training record, every inference process—these aren't disposable garbage, but rather the core value carriers of digital assets that must be permanently preserved and available for audits at any time.
These requirements aren't fictional; they're real problems staring us in the face. They point to one hard fact: next-generation Web3 applications are inevitably data-intensive.
Precisely because of this certainty and application-driven data growth trend, Walrus's tokenomics are built on solid ground. The value of $WAL is not merely a market decoration, nor is it just a simple governance token.