Ultimately this isn't "AI's fault". As the article points out, clueless executives who don't understand the capabilities and limitations of specific LLMs push the technology on workers so they can say they are "using AI to improve efficiency".
LLMs are really good when your primary goal is just to fob people off. So customer support when you don't care about your customers etc. I can imagine it's very appealing when you just want to come up with semi-plausable reasons to deny insurance claims. Who cares if it's wrong? They might give up anyway and you've saved paying out!
Not saying they're not good for other things, but the "waste people's time and make them go away" use is just so perfect for the capabilities of even cheap models.
So AI is going to take jobs not because AI is necessarily better or more appropriate, but because it accelerates bad decision making and makes those decisions exponentially worse.
> Between May 2025 and May 2026, employment in the sector dropped a staggering 21 percent, according to BLS data.
Yeah sure. I mean, same reason why HN readers hate AI, right? It replaces their jobs.
(Obviously the difference is that the poor old claims adjusters didn't spend the last two decades "disrupting" every other industry and telling everyone else to "learn to code". Ha! If you hear a faint high noise, that's the sound of the rest of the world playing a violin, made of highly disruptive nanomaterials.)
Not saying they're not good for other things, but the "waste people's time and make them go away" use is just so perfect for the capabilities of even cheap models.
Yeah sure. I mean, same reason why HN readers hate AI, right? It replaces their jobs.
(Obviously the difference is that the poor old claims adjusters didn't spend the last two decades "disrupting" every other industry and telling everyone else to "learn to code". Ha! If you hear a faint high noise, that's the sound of the rest of the world playing a violin, made of highly disruptive nanomaterials.)