These days, discussions about Web3 storage are often driven by sentimentality, but what truly convinces enterprise applications to get involved is always the most brutal question—money.

Currently, decentralized storage solutions on the market each have their flaws. Some adopt a "one-time payment for permanent storage" model, betting on future cost reductions through complex endowment mechanisms. However, for business data that requires frequent iterations, the cost pressure is just too high. Another approach is to back up the entire network with full replicas, ensuring security with an alarmingly high redundancy—equivalent to paying for a hundred copies of a single image. When you do the math, no one can accept that.

What’s truly interesting are the "day-to-day" solutions. They don’t make grandiose promises; instead, they make smart engineering choices—using algorithms like Red Stuff, they only need to slice files and store small amounts of redundancy across network nodes, rather than storing entire copies repeatedly. This approach effectively distributes risk across the network, ensuring data is never lost while also bringing the unit storage cost close to that of AWS S3.

This engineering mindset, which maximizes "cost-performance ratio," may seem less grand than "permanent storage," but it’s actually the real ticket to mass adoption. Because only when on-chain storage costs become negligible will enterprises truly dare to migrate their operations onto the chain, rather than just staying in the realm of PPT presentations.