Speaking of Lista DAO, many people only see it as a lending protocol, but in fact, the decentralized storage infrastructure behind it is the real gold mine. Three core tracks are in front of us, each with the potential to surpass the current ceiling and expand into new realms of imagination.

Let's first look at AI data storage. AI model training requires massive amounts of labeled data, and the storage costs for these data sets represent a significant expense for AI companies. The global AI data storage market is projected to reach $50 billion by 2025 and to break through $200 billion by 2030—how fast is this growth? That’s the speed of acceleration. What capabilities does Lista DAO’s storage solution have? It offers costs that are 80-100 times lower than traditional solutions and read speeds that are 3-5 times faster. In scenarios such as AI training data storage, model parameter storage, inference data caching, and data annotation platforms, these advantages become particularly evident.

Next, consider the perspective of NFT metadata. Currently, most NFT metadata still resides on centralized servers, posing risks of single points of failure. Using decentralized storage to host NFT metadata can ensure reliability and truly achieve "decentralization." The global NFT market is expected to reach $100 billion by 2025 and surpass $500 billion by 2030. As the market size continues to grow, the demand for secure storage also rises sharply.

The third track is enterprise applications. Although the original text mentions it without full details, the overall trend shows that Lista DAO has found its position across multiple dimensions. When storage costs and speeds are advantageous, market choices become much simpler.