The next opportunity for AI may not be in the models themselves, but in how to securely use data.

Think about it, everyone is piling up computing power and training large models, but the real gold mine—those medical records, business secrets, user data, who dares to truly release them for AI use? This is the problem Nillion aims to solve. It builds a "privacy computing network" with a core selling point that is straightforward: once your data goes in, AI can run computations and output results, but the original data remains encrypted, never goes on-chain, and cannot be extracted. The owner of the data holds the keys, and no one can steal them.

From a market perspective, the current NIL price is around ¥0.48, having risen more than 5% in a single day yesterday, and its market cap ranking is still far behind those purely speculative projects. But what does this precisely indicate? - The big windfall has not fully taken off yet. Global data regulation is becoming stricter year by year, and major companies and institutions are sitting on a gold mine, yet they are hesitant to act due to compliance risks. Nillion's "invisible safe" perfectly addresses this pain point.

Technically, it has taken a different path, not using the traditional blockchain architecture, but instead independently developing a high-speed confidential computing protocol that can outperform the old solutions in efficiency. The role of the token NIL is to serve as the "fuel" for this network—every occurrence of privacy computing requires its consumption.

The team comes from the fields of financial technology and cryptography, not a whimsical air project; they understand how to turn cutting-edge technology into real commercial value. It can be traded on a leading exchange, with stable liquidity.

When it comes down to it, the second half of the AI arms race is actually a data compliance war. Whoever can make institutions feel secure in using data will hold the scepter of the future. Will this role, which specifically "encrypts and locks" AI data, become a severely underestimated dark horse?