AI is not just changing how applications are built, it is changing how data is handled. Training models and running AI systems require storing huge datasets and model files that need to remain available and unchanged. This is pushing teams to look beyond traditional storage solutions and consider alternatives that offer durability and transparency.
Walrus is part of this broader conversation because it is designed to handle large blobs of data with a focus on long term availability. When storage is treated as critical infrastructure instead of an afterthought, reliability becomes more important than speed or hype. This is where decentralized storage can offer value, especially for teams that want to avoid single points of failure.
For $WAL, the connection to real storage demand is key. Tokens that support infrastructure tend to gain relevance when the infrastructure itself is used. If AI related storage needs continue to grow and Walrus proves reliable in real conditions, the ecosystem can strengthen naturally without relying on market excitement.
This is why I view @Walrus 🦭/acc as a long term infrastructure play rather than a short term trade. Adoption driven by real needs often takes time, but it also tends to last longer once it starts.
