77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds
77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds
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.
Large "language" models decreased my workload for translation. There's a catch though: I choose when to use it, instead of being required to use it even when it doesn't make sense and/or where I know that the output will be shitty.
And, if my guess is correct, those 77% are caused by overexcited decision takers in corporations trying to shove AI down every single step of the production.
84The trick is to be the one scamming your management with AI.
“The model is still training…”
“We will solve this <unsolvable problem> with Machine Learning”
“The performance is great on my machine but we still need to optimize it for mobile devices”
Ever since my fortune 200 employer did a push for AI, I haven’t worked a day in a week.
49because on top of your duties you now have to check whatever the AI is doing in place of the employee it has replaced
25The billionaire owner class continues to treat everyone like shit. They blame AI and the idiots eat it up.
24This study failed to take into consideration the need to feed information to AI. Companies now prioritize feeding information to AI over actually making it usable for humans. Who cares about analyzing the data? Just give it to AI to figure out. Now data cannot be analyzed by humans? Just ask AI. It can't figure out? Give it more so it can figure it out. Rinse, repeat. This is a race to the bottom where information is useless to humans.
16Admittedly I only skimmed the article, but I think one of the major problems with a study like this is how broad "AI" really is. MS copilot is just bing search in a different form unless you have it hooked up to your organizations data stores, collaboration platforms, productivity applications etc. and is not really helpful at all. Lots of companies I speak with are in a pilot phase of copilot which doesn't really show much value because it doesn't have access to the organizations data because it's a big security challenge. On the other hand, a chat bot inside of a specific product that is trained on that product specifically and has access to the data that it needs to return valuable answers to prompts that it can assist in writing can be pretty powerful.
14The other 23% were replaced by AI (actually, their workload was added to that of the 77%)
12This is an upwork press release. Typical forbes.
8The Upwork Research Institute
Not exactly a panacea of rigorous scientific study.
6But But But
It's made my job so much simpler! Obviously it can't do your whole job and you should never expect it to, but for simple tasks like generating a simple script or setting up an array it BLAH BLAH BLAH, get fucked AI Techbros lmao
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