I use jupyter notebooks at work, not so much for academic stuff, but often to help build and show a narrative to folks, including executives (where I have any even remotely technical leadership). It's great for narrative stuff, especially being able to emit PDFs and what not. I've been in a number of meetings where I've got the code up in Jupyter, sharing the screen, and leadership want us to tweak numbers and see the consequences.

It's great for exploring code and data too, especially situations where I'm really trying to feel my way towards a solution. I get to merrily intermingle rich text narrative and code so I explain how I got to where I got to and can walk people through it (I did that with some experimenting with an SMT solver several months ago, meant that people that had no experience with an SMT solver could understand the model I built).

I'd never use it to share code though. If we get to that stage, it's time to export from jupyter (which it natively supports), and then tidy up the code and productionise it. There's no way jupyter should be the deployed thing.