Despite 96% of C-suite executives expecting AI to boost productivity, employees say it has increased their workload, hampered productivity and caused job burnout, research shows.

The new global study, in partnership with The Upwork Research Institute, interviewed 2,500 global C-suite executives, full-time employees and freelancers. Results show that the optimistic expectations about AI’s impact are not aligning with the reality faced by many employees. The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.

Despite 96% of C-suite executives expecting AI to boost productivity, the study reveals that, 77% of employees using AI say it has added to their workload and created challenges in achieving the expected productivity gains. Not only is AI increasing the workloads of full-time employees, it’s hampering productivity and contributing to employee burnout.

  • Nobody@lemmy.worldEnglish
    0·
    4 months ago

    You mean the multi-billion dollar, souped-up autocorrect might not actually be able to replace the human workforce? I am shocked, shocked I say!

    Do you think Sam Altman might have… gasp lied to his investors about its capabilities?

    • SlopppyEngineer@lemmy.worldEnglish
      0·
      4 months ago

      Nooooo. I mean, we have about 80 years of history into AI research and the field is just full of overhyped promised that this particularly teach is the holy grail of AI to end in disappointment each time, but this time will be different! /s

      • FaceDeer@fedia.io
        0·
        4 months ago

        Aha, so this must all be Elon’s fault! And Microsoft!

        There are lots of whipping boys these days that one can leap to criticize and get free upvotes.

      • Nobody@lemmy.worldEnglish
        0·
        4 months ago

        Yeah, OpenAI, ChatGPT, and Sam Altman have no relevance to AI LLMs. No idea what I was thinking.

        • Hackworth@lemmy.worldEnglish
          0·
          4 months ago

          I prefer Claude, usually, but the article also does not mention LLMs. I use generative audio, image generation, and video generation at work as often if not more than text generators.

          • Nobody@lemmy.worldEnglish
            0·
            4 months ago

            Good point, but LLMs are both ubiquitous and the public face of “AI.” I think it’s fair to assign them a decent share of the blame for overpromising and underdelivering.