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77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds (www.forbes.com)

submitted 3 months ago by Stopthatgirl7@lemmy.world to c/technology@lemmy.world

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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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[-] FarFarAway@startrek.website 6 points 3 months ago* (last edited 3 months ago)

The summary for the post kinda misses the mark on what the majority of the article is pushing.

Yes, the first part describes employees struggling with AI, but the majority of the article makes the case for hiring more freelancers and updating "outdated work models and systems...to unlock the full expected productivity value of AI."

It essentially says that AI isn't the problem, since freelancers can use it perfectly. So full time employees need to be "rethinking how to best do their work and accomplish their goals in light of AI advancements."

[-] rekorse@lemmy.world 1 points 3 months ago

The article is saying that instead of hiring more people, companies are trying to use AI to get the same output with less people. This leads to lost jobs.

Its not common people are actually fired and directly replaced by AI, but what happens is the normal turnover keeps turning but they won't replace the lost jobs with as many people as before.

Personally I dont want to support any non-human created art in any field, although I think there are use cases for AI in other fields.

this post was submitted on 25 Jul 2024

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