"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
@stefan Execs use AI as interference and as a personal stand-in (what Zucker is hoping for) so they can spend more time at the gym, walking their dog, guest speaking (live), guest speaking (podcasts), traveling, shopping for recumbent bikes, etc. So yes, more productive.
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
The process of fixing LLM slop is literally users training LLMs to produce less slop--and to get better at duplicating the work of the workers they are designed to replace.
Eventually, LLMs will reach a point where slop decreases to the point where the worker *can* be replaced.
THAT is why mgmt is pushing their use so hard. They need you to keep training your replacement.
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
@stefan so high level executives, who cost a ton are the ones who are going to be replaced first right?
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@stefan so high level executives, who cost a ton are the ones who are going to be replaced first right?
@sgued Sounds like a plan to me!
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
@stefan Indeed!
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"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
@stefan
IMHO 92% of high-level executives could be replaced with AI themselves. Imagine the cost savings realized from those salaries and bonuses saved. -
The process of fixing LLM slop is literally users training LLMs to produce less slop--and to get better at duplicating the work of the workers they are designed to replace.
Eventually, LLMs will reach a point where slop decreases to the point where the worker *can* be replaced.
THAT is why mgmt is pushing their use so hard. They need you to keep training your replacement.
Yes I agree that is the goal. But as time goes by and new releases are released with minimal improvement, I am less and less confident that these things can ever be trusted to actually replace a human agent.
They are not thinking machines and that is becoming more clear by the day.
Useful tools for sure, but IMO there is zero chance any big corp will trust an LLM to give direction on anything they may be held accountable for.
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