I believe this will cause an increase on the trend of technical debt.
There are several talks/papers/blogs on lines of code being a cost/liability and not a product/asset. (this blog post seems to assume the inverse)
For that reason, I could see AI-generated code leading to more tech debt since its output is, as the authors put it, “cheap enough to waste”. People might get the idea to just have it crank out AI code snippets with no real bearing on what they actually do or no real care to refactor said snippets for reuse / readability until their house of cards collapses.
https://github.blog/2023-02-14-github-copilot-for-business-i...
So we get about 2-fold increase on code to debug and fix later.
If you can't create the code to begin with, what hope could you possibly have of supporting it?
Writing code, like offering a product/service in the economy, is game theory. After a period of LOC / copypasta increase, there will be more need for development refactors.
Personally, I’m trying to use LLMs to learn to upgrade my knowledge of abstractions and getting experience with refactoring using CodeMods /JsCodeShift.
Maybe the bots will start to get better at deleting, but generating more code is not necessarily a good thing.