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.

  • NιƙƙιDιɱҽʂEnglish
    5•3 months ago

    I think the best current use case for AI when it comes to coding is autocomplete.

    I hate coding without Github Copilot now. You’re still in full control of what you’re building, the AI just autocompletes the menial shit you’ve written thousands of times already.

    When it comes to full applications/projects, AI still has some way to go.

    • @morbidcactus@lemmy.caEnglish
      1•3 months ago

      I can get that for sure, I did see a client using it for debugging which seemed interesting as well, made an attempt to narrow down where the error occurred and what actually caused it.

      • NιƙƙιDιɱҽʂEnglish
        2•3 months ago

        I’ll do that too! In the actual code you can just write something like

        // Q: Why isn't this working as expected?
// A:

        and it’ll auto complete an answer based on the code. It’s not always 100% on point, but it usually leads you in the right direction.