I've seen a modest increase in productivity in bioinformatics. While the field is computational, it's ultimately about analyzing physical processes. The biggest bottlenecks have always been figuring out what makes sense to do and getting the data you need.

You can of course try new ideas and make software tools much faster now, but software is much like meetings. They can be productive if properly motivated, but they can also be a way to pretend you are working without contributing anything of real value.

Theoretical computer science and mathematics have changed. I'm not sure if they will remain active fields of research in the future. If they will, I would guess that theorems and proofs will eventually become things you include as supplementary data rather than in the main paper. Outside some rare exceptions, people may not consider them publishable results anymore.