AI model training relies on massive amounts of high-quality data, but the trust crisis in data markets in reality has never been resolved. Some platforms have unclear data sources and uneven quality, and contributors do not receive the proper rewards.

Now, a team is trying to redo this with blockchain. They have built a verifiable data exchange platform—data providers upload annotated datasets, and AI companies pay the corresponding tokens via smart contracts to gain usage rights. The key is that each call triggers automatic settlement, allowing contributors to see their earnings flowing in in real time.

The biggest advantage of this model is full traceability. Where the data comes from, who uses it, and how much value it generates—all links are transparently recorded on the chain. This not only solves the trust issue but also gives a clear pricing and circulation mechanism to data, which was once a fuzzy production factor. The future shape of the AI data economy may begin to change from here.