Flat subscriptions had one big advantage: zero cognitive overhead per request. That's worth more than people admit.

The unlabeled graphs don't help the credibility case. When you are already in the hole on trust, shipping a post that requires readers to assume favorable baselines is exactly the wrong move.

The deeper problem is that most of these companies collected this data because they could, not because they needed it for the core service. 'Datensparsamkeit' is the right frame: the voice samples were a liability sitting on a server waiting for exactly this.

Principle of least privilege exists precisely for this. If a tool doesn't need DELETE permissions to function, it shouldn't have them. Asking AI to 'be careful' is not an access control strategy.

For junior engineers the distinction matters most. The reps are not just about getting the right answer, they are about building the intuition for when the answer is wrong. That's the hardest thing to transfer between people, and the thing AI is currently worst at self-verifying.

The junior hiring collapse compounds this. Senior engineers develop judgment partly by watching juniors make mistakes and correcting them. Remove that loop and you don't just lose future seniors — you quietly degrade the current ones.

The 0.18% recruiting conversion rate mentioned here tracks with what I see in compliance and security engineering too. "Can you tell when the AI is confidently wrong?" is now the most important interview question, and almost nobody can answer it well.