we will overuse this tech, forgetting important processes that are perhaps wise to keep a "human backup" for redundancy. Then again, RPA is already a case where a "proper" rewrite of some multi-program pipeline is impossible.
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.
Ah right, lots of angles to consider! A hybrid system would certainly be interesting. Let the AI runtime generate and evaluate code to perform tasks (e.g. selenium/puppeteer in python/java). Upon failure, "escalate permissions" to enable DOM control, or full mouse/keyboard to complete the task (probably best not to let the thing open up a code-editor with M/KB controls though heh)