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.

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[–] 1 point 2 years ago (1 child)

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.

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  • [–] 2 points 2 years 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.

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