R slop. Oof.
What an awful thing to imagine. It's already the programming language of choice for egregious abuses of good practice.
Conversely, it is the programming language of choice for people who don't assume that their expertise on one domain (data science) translates into expertise in the whole of human knowledge (as we often see among techbros generally and here specifically).
As a working data scientist, I know I am not a computer scientist or a 10x engineer (hell, I am probably a 0.8x engineer), but that's not where my expertise is. My engineer co-workers are 0.01x data scientists, but you won't see me complaining that they don't know the Central Limit Theorem or how to build a causal inference engine.
I do wonder if there isn't enough computer science / software engineering that is being taught as part of data science.
People I've worked with that used R and manged data / did analysis didn't really seem too concerned with long term maintenance.
Secondary observation, these same people were the first to preach for the AI coding gospel.