Most people paying attention would agree that recording your meetings is AI 101. If you are not memorializing that context from when your people share their knowledge, you are already behind.

So I paid attention when the head of an AI training company emailed me this week with some insights from the field that suggested AI note-taking has not yet reached full saturation because of some feature gaps.

He works with legal advisors who refuse to let prospect calls be recorded at all. In their quest to mitigate risk, the firms lose the transcripts entirely. And on the calls that do get recorded, something trickier happens: enormously useful knowledge gets shared in the same breath as things that must stay confidential. You can’t share the transcript without exposing the sensitive parts. So nobody shares anything, and everyone misses out.

That’s the conundrum. The industries where institutional knowledge is most valuable, law, finance, healthcare, are exactly the ones where blanket transcript access is impossible.

The answer isn’t to stop recording. It’s also not to record everything and hope. It’s infrastructure that treats discretion as a first-class feature: access controls that map to who was in the room, retention policies with teeth, and eventually the ability to reliably separate the shareable knowledge from the confidential material around it.

Whoever solves that opens up a market the current generation of notetakers can’t touch. Sensitive industries don’t have an AI adoption problem. They have a trust problem, and it’s still unsolved.