The AI boom in 2026 is hitting a wall: centralized storage. Training models and storing massive datasets on legacy cloud providers creates bottlenecks and "black box" risks. This is where @Walrus 🦭/acc is proving its utility.
From a #Tokenomics perspective, the demand for $WAL isn't just coming from retail users-it's coming from AI startups that need to store model weights and datasets as immutable "blobs." With Walrus now hitting millisecond response times, we are finally seeing decentralized storage that can keep up with the speed of AI.
I’m particularly watching the deflationary pressure on $WAL as more AI agents begin using the protocol for autonomous data management. When machines start paying for their own storage, the "burn" mechanics get very interesting.
The future of AI is open, verifiable, and stored on Walrus.
