this post was submitted on 19 May 2026
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This is really damning evidence of AI's vaporware benefits tbh.
As LLMs key functionality is supposed to be their ability to take a body of work (training data) and then take natural language input to deliver valuable and accurate natural language outputs, automated helpdesk and call centers are supposedly their absolute bread-and-butter low challenge implementation cases.
And yet... Here we are. They still aren't anywhere near the quality or value of just hiring people.
Ish.
The issue is that it isn't a straight shot as a lot of people paint. Call Centers work off of User Interfaces, AI can't see or use those, so those UIs suddenly have to be retooled in a way that the AI understands, which that's not easy. Additionally there's business logic that is complex and there's a lot of siloed knowledge, all of that is hard to extract and put into a model that's usable.
The thing is that these LLM and AI companies were thinking the rest of the world is as structured as the data models they trained their AIs on and that's just not the case. The LLMs can absolutely do the task if given the task correctly, it just that it's near impossible to give the task they need to perform correctly in 100% of the situations. Hell, even humans fail this, people get written up at call centers all the time.
To put it simple, you ever hear the joke, "we don't have to worry about AI taking the programmers jobs because then the CEO would have to accurately explain the problem they're trying to solve/sell"? It's IRL that, that's holding up a ton of the LLMs in call centers. Like there's two VERY narrow processes that the company I work for has implemented AI for, and those are really basic situations where explaining the full scope is pretty easy.
But take what I have to say with a grain of salt. I can't say the company I work for has ever really been that gung-ho about AI to begin with. But I can tell you that it's WAY, WAY, WAY more work to deploy AI than the tech bros like to paint it. Like you can just hit the button and "go", but it's going to crash and burn. Like to get it right is way more work than the AI industry let's on.