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.

  • HubertManne@piefed.socialEnglish
    19·
    3 days ago

    This sounds about right. Figure 50% are just screaming at their employees to use ai and at managers to lower headcount and make it up with ai and such. Then like 25% more buy some companies ai solution and expect sorta the same from there. Then like 15% actually try to identify where ai could be helpful but don’t really listen to feedback and just doggedly move forward. Eventually you get to the ones that identify where it might help and offer options to employees to use it much like any other software where they can request a license and let it grow and help organically and look more to just improve results or productivity.

    • Hackworth@sh.itjust.works
      17·
      3 days ago

      Feels very much like the push in the 90’s for every company to have a website before companies understood what websites were for.

      • BlameThePeacock@lemmy.caEnglish
        4·
        3 days ago

        Completely agree.

        I’ve got clients who I can see immediate benefits right now, and I’ve got clients where I don’t think it’s a good idea yet. Most of those that could benefit it’s small tweaks to workflow processes to save a few FTE here and there, not these massive scale rollouts we’re seeing.

        Unfortunately Microsoft, along with other companies, are selling fully scale sexy to executive when full scale sexy isn’t actually ready yet. What’s available does work for some things, but it’s hard to get an executive team to sign off on a project for testing to save only 10 employees worth of work in a 2000 person company when they’re simultaneously a) worried about it going horribly wrong, and b) worried about falling behind other companies by not going fast enough.

    • Basic Glitch@sh.itjust.works
      4·
      3 days ago

      Figure 50% are just screaming at their employees to use ai and at managers to lower headcount and make it up with ai and such.

      Immediately imagined it being screamed in this voice:

      “Use AI and make it lame!”