Well, it seems efforts to introduce AI are going to happen everywhere that human create or look at data. Some uses seem pretty effective - neural nets sorting i

Well, it seems efforts to introduce AI are going to happen everywhere that human create or look at data. Some uses seem pretty effective - neural nets sorting images of stars seems to have found some interesting things. Some uses seem fairly problematic - modern buildings seem like a complete disaster already to my naive eyes and less attention might not improve things. Moreover, as far as I know, the job of an architect is to make a building that is aesthetically pleasing and balanced but which also satisfies a lot of specific constraints - has a bathroom, doors don't knock against each other when opened, sufficient lighting etc. The thing is multiple constraint satisfaction part seems to be where neural nets seems to fail. Self-driving cars work mostly yet by not satisfying all constraints, they seem destined to be "always five years out". GPT-III writes paragraphs that seem pretty well written yet it contracts itself quite often 'cause it's duplicating most frequent phrases, not considering the logical constraints humans (sometimes) need to take into account. Which is to say, I'd imagine AI generated buildings would seem plausible till you noticed the doors to nowhere and similar stuff.