Futurism: AI Is Turning Workplaces Into Hopeless Gridlock

AI Is Turning Workplaces Into Hopeless Gridlock

Looks like AI is not the magical tool that CEOs make it out to be.

By Sharon Adarlo

Published Apr 15, 2026 3:10 PM EDT

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A man in a green suit jacket and blue shirt is sitting at a desk with a laptop, holding his head with both hands and shouting or expressing frustration. Two blurred figures stand behind him in an office setting, with a large plant and window visible in the background. The image has a motion blur effect emphasizing the man's emotional state.
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CEOs have eagerly grabbed onto AI as a tool to make offices more efficient, and often to reduce headcount via brutal layoffs.

There’s a problem, though: the workers who remain often say they now have to fix a flood of error-ridden AI-generated “workslop” that’s burdening them, paradoxically, with more work than ever.

All this pointless busywork to correct AI-generated output results in hidden costs for companies that embrace the tech, according to The Guardian. One recent survey of 1,150 desk jockeys found that the 40 percent had encountered workslop — defined as “AI-generated content that looks good, but lacks substance” — in the course of their duties, forcing them to waste 3.4 hours per month dealing with it. At scale, that’s significant: all those hours wasted tally up to an estimated $8.1 million of lost productivity for a workplace with 10,000 workers.

The hypothesis is supported by previous research that found that computer programmers become slower when using AI. A widely-cited MIT study found that 95 percent companies that deployed AI don’t see any added revenue from its adoption, despite massive enthusiasm among CEOs.

One stark example of AI’s drag on the workplace, per The Guardian: a copywriter at a Miami cybersecurity firm told the newspaper that his employer let go several of his colleagues while pushing everybody left to use AI — but he and his remaining colleagues found that while AI could effortlessly spit out seemingly polished content, they had to spend significant extra time rewriting or correcting errors.

“Quality decreased significantly, time to produce a piece of content increased significantly and, most importantly, morale decreased,” the copywriter told the paper. “Everything got a whole lot worse once they rolled out AI.”

Workslop problems are also dragging down medical staff. Philip Barrison, a sixth-year MD-PhD student at the University of Michigan Medical School, told The Guardian that a survey he conducted found that many medical workers had to waste time fixing errors, while patients received incorrect or flawed AI-generated emails.

All these anecdotes also illustrate the difference of opinion between workers in the trenches and CEOs in their glass-walled offices; in a survey of 5,000 office workers, 40 percent said using AI didn’t save them time, while 92 percent of executives said AI made them more productive.

With this dissonance of opinion, something has to give. Employees’ direct experience with AI show that detailed work that requires accuracy still needs trained human discernment, which can’t be easily replaced by a bot, hence the spotty adoption and mixed views of people directly involved in production work. That’s a tell that should blunt any eager CEO who’s hot to replace workers with AI.

This issue leads to a logical question that anybody with sense should start asking: if employees find that AI can’t easily reproduce their work at the same level of a trained human being, and CEOs who heavily use AI find that the technology makes them more productive, doesn’t that suggest that workers can’t be replaced while CEOs could be replaced by a bot?

That’s a question some AI experts are starting to ask, because it’s becoming clear that regular office workers — the lifeblood of any company — can’t be easily traded out.

More on AI: AI Use Appears to Have a “Boiling Frog” Effect on Human Cognition, New Study Warns

Sharon Adarlo

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About michelleclarke2015

Life event that changes all: Horse riding accident in Zimbabwe in 1993, a fractured skull et al including bipolar anxiety, chronic fatigue …. co-morbidities (Nietzche 'He who has the reason why can deal with any how' details my health history from 1993 to date). 17th 2017 August operation for breast cancer (no indications just an appointment came from BreastCheck through the Post). Trinity College Dublin Business Economics and Social Studies (but no degree) 1997-2003; UCD 1997/1998 night classes) essays, projects, writings. Trinity Horizon Programme 1997/98 (Centre for Women Studies Trinity College Dublin/St. Patrick's Foundation (Professor McKeon) EU Horizon funded: research study of 15 women (I was one of this group and it became the cornerstone of my journey to now 2017) over 9 mth period diagnosed with depression and their reintegration into society, with special emphasis on work, arts, further education; Notes from time at Trinity Horizon Project 1997/98; Articles written for Irishhealth.com 2003/2004; St Patricks Foundation monthly lecture notes for a specific period in time; Selection of Poetry including poems written by people I know; Quotations 1998-2017; other writings mainly with theme of social justice under the heading Citizen Journalism Ireland. Letters written to friends about life in Zimbabwe; Family history including Michael Comyn KC, my grandfather, my grandmother's family, the O'Donnellan ffrench Blake-Forsters; Moral wrong: An acrimonious divorce but the real injustice was the Catholic Church granting an annulment – you can read it and make your own judgment, I have mine. Topics I have written about include annual Brain Awareness week, Mashonaland Irish Associataion in Zimbabwe, Suicide (a life sentence to those left behind); Nostalgia: Tara Hill, Co. Meath.
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