AI is cutting hours of office work, but also creating a new kind of busywork
Source: LA Times
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There is a thick, mostly invisible layer of human labor holding the whole thing together, the report said.
The survey found that for every hour a worker spends getting useful output from AI, they spend roughly another hour making it usable.
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Part of the reason so much time disappears into botsitting is how often the tools fall short: Workers report that more than a third of AI sessions fail outright, requiring a full restart or substantial rework.
Paradoxically, as more workers hand over bigger parts of their jobs to AI, they are offloading personal judgment and responsibilities to the bots. The survey found 41% of workers say they sometimes deliver AI-generated work they couldnt explain if asked.
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Read more: https://www.latimes.com/business/story/2026-06-12/ai-saves-office-workers-hours-but-then-demands-hours-of-babysitting
The study is here:
https://www.glean.com/work-ai-institute/reports/work-ai-index-report
Excerpt from that:
So where are the gains going?
Theyre being swallowed by a new, largely invisible form of labor. We call it botsitting: the work required to make AI usable, including feeding it missing context, checking its outputs, debugging its mistakes, rerunning prompts, and cleaning up the confident-but-wrong answers AI leaves behind. Workers now burn an average of 6.4 hours a week botsitting most of a full working day, every week.
When that labor is untracked, unbudgeted, and unrewarded, workers start cutting corners. They stop checking outputs and deliver work they cant fully explain or defend. Thats when botsitting turns into something more dangerous: botshitting shipping AI-generated work that workers havent reviewed, dont fully understand, or couldnt defend if asked. Today, 69% of AI users admit to botshitting at work.
Bad as that is, the study also found that "48% reach for AI before they try to solve a problem themselves."
So we have something called artificial intelligence that's badly flawed tech that often returns incorrect results. Badly flawed tech that gives those results almost instantly and is designed to seem so authoritative that humans often defer to it instead of using their own judgment.
This is NOT a solvable problem. The flawed tech is creating the problem. And generative AI is inherently flawed. Anyone who imagines they're a genius using genAI effectively is much more likely tuning out all the failures they don't completely overlook - all the while the chatbot is telling them how brilliant and perceptive they are.
God damn genAI and the unethical AI robber barons who've inflicted it on society.
Ed Zitron put the stupidity of using genAI more colorfully, in a quote I used in a thread June 2nd:
https://www.democraticunderground.com/100221278425
https://www.wheresyoured.at/ai-doesnt-have-roi/
Why? Because every single AI setup Ive seen anyone ever use involves a rube goldberg machine of bullshit deterministic scripts to try and bring the hallucination-guaranteed nature of LLMs to heel, usually to the point that youre doing more work making the LLM work than you did before they existed, and youre only proud of it because you feel like youre special.
And BootinUp posted a video that's an amusing illustration of what people often have to go through to "get AI to work":
https://www.democraticunderground.com/100221289258
Ford_Prefect
(8,686 posts)You have to wonder just how much Garbage In is producing so very much inoperable Garbage Out, eh?
highplainsdem
(63,497 posts)You can give an LLM nothing but perfectly accurate, very useful data, and it can still hallucinate complete nonsense.
mwmisses4289
(4,962 posts)highplainsdem
(63,497 posts)wrecking education, harming the natural environment and the information ecosystem, dumbing down users, worsening inequality and setting up a financial catastrophe.
But if you ignore all the work that went into training it and prompting it, and all the errors in the output, you hafta give it an A+ for how fast it spits out those results.
reACTIONary
(7,364 posts)... One thing that I found surprising is that the authors identify a group of high AI achievers, AI users who report that AI has improved both their productivity and the quality of their work, who are contrasted with low AI achievers.
This reminded me of an article I read several years ago, which I tracked down: ChatGPT Attends University. It too identifies a class of "high AI achievers" and contends that "when colleges ban AI tools like ChatGPT, they (inadvertently) select for the sneaky, savvy students."
In this case, the high achievers are the successful cheaters. The big picture, though, is that, like all cheaters, they are cheating themselves.