As artificial intelligence begins to integrate with Web3, a new limitation becomes impossible to ignore: data. AI applications depend heavily on large datasets, historical records, and persistent inputs. While blockchains excel at execution and verification, they are not designed to store or manage this kind of data efficiently.
This is where decentralized storage becomes a first-class infrastructure requirement. Walrus approaches this challenge by separating execution from long-lived data. Through @Walrus 🦭/acc , applications can rely on a verifiable, decentralized storage layer that supports persistence, availability, and integrity over time.
The $WAL token aligns incentives around durability rather than short-term access. This is especially important for AI-driven applications, where data must remain accessible and trustworthy long after execution has finished.
In my opinion, the convergence of AI and Web3 will push storage infrastructure into the spotlight. Projects that treat storage as core infrastructure — not an afterthought — will quietly define the next phase of decentralized systems. #Walrus is positioning itself exactly in that space.
