There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.

Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L.

The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.

  • rumba@lemmy.zipEnglish
    3·
    2 days ago

    At the moment, there are probably doing pretty good. Kind of like using calculators, when we got out of school we all had a calculator.

    Were the rubber is going to meet the road It’s when the AI bubble bursts and there’s no over generous evaluations and free venture capital, and we actually need to pay a sustainable fee for the tokens.

    They’re going to need some really expensive calculators

    • MrLLM@ani.socialEnglish
      2·
      2 days ago

      Well, I didn’t think about it like that!

      Hopefully there’s still students that use it as a mere tool rather than as a way to pass by without actually learning.

      • rumba@lemmy.zipEnglish
        1·
        2 days ago

        Hopefully anyone majoring in a subject is there because they want to learn the subject and we won’t lose the capability. The people that aren’t in it for the education won’t fair as well when LLM’s become the new rent :)

        The real damage is the companies paying for the LLMs for their subpar, cheap employees, though. Those English majors are having a hard enough time finding work.