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- Hacker News
- My wife works in autism services. Insurance companies are the bane of her existence. Every six months (sometimes less), she has to write a huge report justifying services. These reports are frequently over 100 pages and she is only slotted so much time to do it, so she ends up doing a ton of unpaid work. The entire business model is to drown the practitioner in paperwork then use “peer reviewers” who are nurses that don’t know anything about the treatment to deny claims then waste the practitioner’s time on appeals in the hopes that people will give up. AI has obviously made this process easier and the insurance companies absolutely hate it.
People have no idea how inefficient the U.S.’s healthcare system is. And it isn’t just the private companies. A ton of states purposefully overburden and underfund their Medicaid systems for ideological reasons. Then the private insurance companies adopt the same practices later.
by cael450 - When there is more efficiency its a win for AI. When there are errors its the problem of the humans that are supposed to be using AI and oversee it to "make them more efficient". This has been the main source of AI fatigue for me.by kkaske
- We are witnessing the greatest ripoff in world history. First they illegally scrape the entire history of human text, art, video, then they create products to replace humans, next the wealth of those fired humans is transferred to wealthy VCs and large businesses.
And all the while these crooks are claiming it's so humans can focus on more important things. Yeah right. If we're lucky, AI won't improve and there will be a huge backlash, like outsourcing in the early 2000s. If AI gets better, actually good enough to do most work currently done by humans, well then probably something really ugly happens.
by eagsalazar2 - > Between May 2025 and May 2026, employment in the sector dropped a staggering 21 percent, according to BLS data. For early-career adjusters, the decline was even sharper: Entry-level postings have fallen 50 percent since 2025…
When your business model has gotten to the point where people cheer for a guy who murdered one of their CEOs, it’s not surprising that people would not be interested in joining and may see being murdered as an occupational risk beyond what their personal actuarial tables allow.
On the outside, I was able to use a consensus model to reach a successful settlement. I wouldn’t say I won, but was made whole after having to file in court.
If AI is making their lives miserable on the inside as well, I fully support it.
by jonhohle - Meanwhile insurance fraudsters love AI, and its ability to manipulate photos!by cm2187
- by altacc
- 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.
by almost - 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".by glimshe