This is a "classic" tension. Having worked in the (broader) RPA space for a while, I would say that the true north star of most processes is (a) rewriting the internal procedures to be transformations on data (not UIs) and (b) standardizing communication across companies.

There is a lot of momentum to solve (a) with no code, but it's slow because processes are impossibly complex. I think AI will accelerate this and could result in the "human backup" dystopia. On the other hand, AI can also be used to generate code, and I'm optimistic that technology like this can accelerate humans' ability to encode complex processes robustly (as transformations of data) and would 10 or 100x less work than no/low code.