As categories:

- Language translation: is, in general, much better with the ML models than prior automated attempts.

- Internal search tools (GPT + all your internal docs, private)

- Voice-to-text transcription in lots of medical and medical adjacent fields. HN tends to be skeptical of this ("It's going to hallucinate diagnoses!"), but it has a lower error rate than traditional speech rec and human transcription. I met someone who built their own no-code speech to text for their partner's veterinary practice and saved them an hour a day of notetaking.

There's a bunch of businesses in all these areas.