"Now you gave me two bad feelings about the company."
Rule number 1; everyone's perspective is their reality, regardless of your beliefs or intentions.
We've had chatbots for a long time before LLMs, and while they're of course much more limited as you have to explicitly program every thing it should be able to do, by that very virtue, hallucinating is problem they do not have.
For this kind of customer service chat scenario, I find them much better than just a free style LLM trained in some internal docs.
(Though really, probably the ultimate solution is a hybrid one, where you have an explicitly programmed conversation tree the user can go down, but with an LLM decoding what the user is saying into one of the constrained options. So that if one of the options is "shipping issues", "my order is late" should take me there. While other forms of NLP can do that, LLMS would certainly shine for that application)
Now, the important thing is offer a way to upgrade to a human. But I have no problem at all starting with AI, in fact I honestly prefer it.
In some ways it's not that different with hiring. I used to work with HR teams that knew the roles they were hiring for extremely well and could make reliable calls on whether or not to pass a candidate to a hiring manager. More recently I've seen HR get outsourced entirely, or staffed with cheaper employees that just shuffle documents through systems.
At least there's no hold time
The power imbalance is already so far tipped to the employer side. This verbiage doesn't even consider the applicant a human with time worth saving or worth having meaningful conversations!
Anybody who has been on the hiring side post-GPT knows why these AI tools are getting built: people and/or their bots are blind-applying to every job everywhere regardless of their skillset. The last mid-level Python dev job I posted had 300 applicants in the first hour, with 1/4 of them being from acupuncturists and restaurant servers who have never written a line of code. Sure, they're easy to screen out, but there are thousands to sift through.
Having said that, I don't like AI interview tools and will not be using them. I do understand why others do, though.
This is a naive view of the proceedings. Why not hire literally the first person that applies? That would reduce your cost even further.
The point is to figure out who would be good at making you money. The question is, does an ai chatbot wasting your prospective candidates time make you more, or less, likely to find people good at that? Perhaps it reduces the amount of cost reviewing applications, but I imagine it also drives away a good number of the better candidates, those that have more options, away. If you're cutting corners and cost this much, why are you even hiring? surely the point of the exercise is looking towards future growth.
Naturally, there is also a limit to that line of thinking also - spending weeks reviewing each one of the ten thousand applications to your junior developer role wouldn't be the most efficient way to grow. But surely there are better filtering methods you can think of than this, which is imo the equivalent of planning on reducing the number of candidates by lining them up in a room for hours in sweltering heat and hurling verbal abuse at them until only a couple of the wretched ones without a shred of dignity are left
That has to be due to policy failure of forcing people on benefits to apply for jobs to get benefits, even if they already have applied to all suitable jobs there are right now?
Once again proving that somehow HR has become captured by bug people