In Web3, many projects don’t fail technically—they fail economically. When token appreciation is the only revenue engine, the moment speculation cools, the project dies. Walrus avoids this trap by anchoring its model in scenario-driven cash flow.
In AI storage, Walrus undercuts AWS by over 60% while dynamically pricing based on access frequency. Storage is only the entry point. Through partnerships like io.net, it earns commissions on compute usage, and adds paid layers such as access control and data rights management. Today, AI contributes over 40% of core revenue—entirely from services.
RWA is even more decisive. Compliance, not price, drives demand. Walrus collaborates with 18 institutions, supports multiple regulatory frameworks, and monetizes review, traceability, and long-term storage. One mid-sized RWA project alone generated nearly $200,000 in service revenue with strong margins.

The takeaway is brutal but clear: tokens may attract attention, but only services sustain value. Walrus prices pain, not hype—and that’s why capital takes it seriously.


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