It's interesting to observe how Vitalik recently raised an issue that many people underestimate. With the accelerated activation of AI agents, the privacy of cryptographic data becomes not just desirable — it becomes critically necessary.

Here's the point: even if you use a local AI agent, it doesn't mean your data is protected. If external services can see all your API requests and search history, they can easily infer what you're doing. It's like thinking you're private, while every step you take is recorded.

Vitalik emphasizes that privacy should be viewed as a comprehensive system — from the local level to the entire technical stack. It's not a single patch, but a holistic approach. He compares it to health: if several negative factors affect you, addressing each one has a cumulative effect. The same applies to privacy — each additional layer of protection strengthens overall security.

In practice, attempts are already being made to use mixnets to mask the source of requests. It sounds logical, but there's a problem: service providers require anti-abuse mechanisms and payment models due to the risk of DDoS attacks. And here comes the paradox — these payment systems are often based on credit cards or stablecoins without privacy. So you're protecting one side, while the other remains vulnerable.

With the proliferation of AI agents, this problem will only worsen. New solutions are needed that consider the entire ecosystem, not just individual layers.