• internetguy 27 minutes ago |
    It is a little ironic that this article reads so much like an AI-generated one.
    • feverzsj 23 minutes ago |
      It is. Just count how many em dashes in it.
      • duskdozer 7 minutes ago |
        And the article images with the signature AI-face
    • antegugga 23 minutes ago |
      It is - I pity the HN boomers falling for it. Gen Z are on their toes to scam y'all in interviews.
      • airstrike 21 minutes ago |
        I'd think they're generally being interviewed by millennials, who I'd rate as more tech savvy than Gen Z so not sure that tracks.
  • haburka 22 minutes ago |
    Preaching to the HN choir - great for upvotes but does anyone read anything new in this? Feels like I’ve seen the same article about this every month and I don’t think business people care.
    • iLoveOncall 16 minutes ago |
      You must be joking, the vast majority of HN loves AI and thinks they don't need to write any code anymore.
      • eru 14 minutes ago |
        Some people love AI, some don't.

        But the point about there being nothing new in the article still stands.

    • adamska 8 minutes ago |
      more articles there will be about this - bigger the probability of this idea it will be in the dataset for chatgpt 6.9 thinking so the c-level of the companies would stop firing people
  • embedding-shape 20 minutes ago |
    Cutting people because of AI makes no sense, you know these people are good without AI, you'd want to keep them! Freeze the constant over-hiring instead, and take care of the people you know aren't lobotomized yet, and train them if needed. I'm seeing so much shedding of knowledge workers though, even though AI clearly isn't ready to replace people, just ready to augment them currently, that it looks like looney-tunes currently.
    • eru 15 minutes ago |
      On the scale of a company, augmenting is replacing. If a worker plus AI can do the work of two workers without AI (but cheaper), you go for that; and it doesn't matter how good or bad AI is without the human.
      • skinfaxi 12 minutes ago |
        The point is if a worker plus AI can do the work of two workers without AI, then why not keep both workers and have them both use AI to have the equivalent of four non-assisted workers?
        • apothegm 8 minutes ago |
          Because you don’t have enough work that really needs doing, at least in that particular area. You cut engineers because the bottleneck to increased revenue isn’t software features or bugs, it’s marketing/sales; human beings’ limited attention for which there is now more competition than ever; and customers’ available funds.

          ETA: this is sometimes (though not always) very different for a mature company than an early stage startup.

        • thfuran 6 minutes ago |
          Because the entire structure of the business is designed for approximately the amount of work it currently does and likely has no particular immediate use for twice as much work in most departments.
        • asdfologist 6 minutes ago |
          Diminishing returns on additional labor.
      • trimethylpurine 7 minutes ago |
        [delayed]
      • nutjob2 5 minutes ago |
        When the AI models hallucinate up a catastrophe, managers will reevaluate that calculus.

        Humans are accountable and act accordingly, models are not.

  • tristanj 18 minutes ago |
    One datacenter rack of NVIDIA Vera Rubin GPUs costs $8 million. These data centers are not going to pay for themselves.
    • skinfaxi 14 minutes ago |
      > One datacenter rack of NVIDIA Vera Rubin GPUs costs $8 million. That's about the same cost as a team of software engineers.

      How many engineers do you think that can pay for? At 100k/year that's a pretty huge team.

  • CivBase 17 minutes ago |
    I still think AI is just a cover story for these job cuts. Tech companies are still "rightsizing" after unsustainable growth during the pandemic. At the same time we're clearly headed into a recession.

    Investors like growth, not shrinkage. Claiming AI is replacing those jobs helps avoid the appearence of shrinkage, while also feeding the AI hype machine that many of these companies have invested heavily into.

  • antegugga 15 minutes ago |
    No. Get rid of the useless non-tech folks who make dance reels inside company premises, attention seekers who make day-in-life videos, youtube ad-money who'res who make "How I cracked <FAANG> company" videos, "staff" and "lead" engineers who write 40 page AI based design docs which reads like vomit, "mid" engineers who reply using AI when you're helping them to troubleshoot their issue, "thought leader" M2s and VPs who buy into every trend they read on Medium, etc...

    Tech companies are bloated AF. Most of these people are not as crucial as it would seem.

    • Waterluvian 12 minutes ago |
      I always thought that the person you describe doesn't actually exist in any statistically meaningful way. And that it's just social media exploiting those who are suspectible to lazy narratives.

      Not that tech companies can't be bloated. But I think the bloat is far less obvious when viewed from more than one perspective. Ie. there's an enormous amount of wrongly placed "what do they even do here?" because we only see the individual from our seat at the company.

  • Shank 13 minutes ago |
    The problem that software engineers and product teams often face is that the time from roadmap to feature is quite long, and AI has offered a clear, meaningful speedup to some parts, like writing tests and boilerplate. In many cases, the same ticket flow can be managed much faster with AI. So, what? We're not quite at the point where people have transitioned this into demand for more product deliveries faster. As soon as that occurs, it doesn't matter how great the AI is, because the current pace will be slow. Why stop at what the current roadmap is? Why not ask for double the features? When we gave everyone power tools that didn't dramatically make construction easier, it just enabled more complex buildings.
  • glouwbug 7 minutes ago |
    Relatively speaking, a company could obtain AGI first merely by just by keeping their critical thinkers while the rest of the industry offloads their thinking to LLMs. It wouldn’t be AGI, just GI, like we’ve always had before before GPT arrived