Do you also send contracts, account information, or even company documents straight to AI? It’s certainly convenient, but once data is uploaded to the cloud, the model may see more than just a block of text—it could gradually piece together behavioral patterns and trade secrets.

That’s why, when I look at the crypto privacy sector, this is the key theme I focus on: what’s most likely to go mainstream may not be “complete anonymity,” but whether “privacy and compliance can coexist.”

Why is this issue worth watching in the market?

AI needs to handle privacy, and public blockchains do too. Public blockchains such as $ETH are transparent by default, so transaction records and account balances can be looked up. Once an address is linked to a real-world identity, how much stablecoin a company holds and whom it trades with could be exposed.

This directly affects businesses’ willingness to use on-chain payments at scale. The fact that technology can complete a transfer doesn’t mean businesses are willing to put their funds and transaction relationships on a public ledger.

Privacy coins and mixers offered anonymity solutions earlier, such as $XMR and $ZEC. But placing too much emphasis on evading tracing can also invite regulatory pressure. The direction worth watching over the long term is the use of technologies like zero-knowledge proofs, which “prove the result without revealing the details.”

When evaluating related projects, I look at 3 questions.

1. Does it hide necessary information, or is it trying to evade all scrutiny?

The former addresses business privacy; the latter can easily cross regulatory red lines. Both may be called “privacy,” but their long-term potential could be entirely different.

2. Can it involve compliance institutions?

One approach being tested is for both parties to complete verification through a licensed intermediary. Their identities and transaction details aren’t posted directly on the public blockchain; instead, the resulting zero-knowledge proof is used for authentication. This protects information while preserving a path to compliance.

3. Does it have real-world use cases?

Stablecoin payments for businesses, on-chain identity verification, and processing sensitive AI data are all more likely to generate sustained demand than simply telling an “anonymity story.” When watching the market, don’t focus only on short-term price movements; also consider whose privacy problem the project is actually solving.

My view is that as AI becomes more widespread, privacy is more likely to shift from an add-on feature to basic infrastructure. If the crypto industry can first solve the challenge of “not being exposed, but not evading regulation either,” zero-knowledge proofs may become an important area to watch at the intersection of AI and crypto.

Here’s one thing you can do today: check the projects on your watchlist and see whether they offer an anonymity narrative or a privacy solution that’s verifiable, compliant, and practical.

Zero-knowledge proofs #加密隐私 #AI