"Could Google, or any other company out there, build a digital copy of you that answers questions exactly the way you would? "Hey, we're going to cancel the interview- we found that you aren't a good culture fit here in 72% of our simulations and we don't think that's an acceptable risk."
They kinda did - that's what GMail/Chat/Docs autosuggest does. You've got canned replies to e-mail, editors that complete your sentences, etc.
It works okay for simple stuff - completing a single sentence or responding "OK, sounds good" to an e-mail that you already agree with. It doesn't work all that well for long-form writing, unless that long-form writing is basically just bullshit that covers up "OK, sounds good". (There's a joke within Google now that the future of e-mail is "OK, sounds good" -> AI bullshit generator -> "Most esteemed colleagues, we have organized a committee to conduct a study on the merits of XYZ and have developed the following conclusions [2 pages follow]" -> AI bullshit summarizer -> "OK, sounds good".)
This is a pretty good summary of the state of LLMs right now. They're very good at generating a lot of verbiage in areas where the information content of the message is low but social conventions demand a lot of verbiage (I've heard of them used to good effect for recommendation letters, for example). They're pretty bad at collecting & synthesizing large amount of highly-precise factual information, because they hallucinate facts that aren't there and often misunderstand the context of facts.