I see this same fallacy repeated all the time when we speak about AI.
"I want AI to be 100% accurate and not 99.999%"
"If AI makes even one mistake, why would I even use it?"
"What's the point of using AI if I have to verify it anyway?"
Here's how it could work.
You could always have a CI sort of thing for doctors prescriptions where you run the prescription through AI and it can flag any potential error to the doctor.
The LLM can be accurate enough that it only flags things when necessary