{"id":10263,"date":"2026-04-15T19:10:02","date_gmt":"2026-04-15T19:10:02","guid":{"rendered":"https:\/\/musictechohio.online\/site\/ai-workslop-gridlock\/"},"modified":"2026-04-15T19:10:02","modified_gmt":"2026-04-15T19:10:02","slug":"ai-workslop-gridlock","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/ai-workslop-gridlock\/","title":{"rendered":"AI Is Turning Workplaces Into Hopeless Gridlock"},"content":{"rendered":"
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CEOs have eagerly grabbed onto AI<\/a> as a tool to make offices more efficient, and often to reduce headcount via brutal layoffs<\/a>. <\/p>\n

There\u2019s a problem, though: the workers who remain often say they now have to fix a flood of error-ridden AI-generated \u201cworkslop\u201d that\u2019s burdening them, paradoxically, with more work than ever.<\/p>\n

All this pointless busywork to correct AI-generated output results in hidden costs for companies that embrace the tech, according to The Guardian<\/em><\/a>. One recent survey<\/a> of 1,150 desk jockeys found that the 40 percent had encountered workslop \u2014 defined as \u201cAI-generated content that looks good, but lacks substance\u201d \u2014 in the course of their duties, forcing them to waste 3.4 hours per month dealing with it. At scale, that\u2019s significant: all those hours wasted tally up to an estimated $8.1 million of lost productivity for a workplace with 10,000 workers.<\/p>\n

The hypothesis is supported by previous research<\/a> that found that computer programmers become slower when using AI. A widely-cited MIT study<\/a> found that 95 percent companies that deployed AI don\u2019t see any added revenue from its adoption, despite massive enthusiasm among CEOs.<\/p>\n

One stark example of AI\u2019s drag on the workplace, per The Guardian<\/em>: 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 \u2014 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.<\/p>\n

\u201cQuality decreased significantly, time to produce a piece of content increased significantly and, most importantly, morale decreased,\u201d the copywriter told the paper. \u201cEverything got a whole lot worse once they rolled out AI.\u201d<\/p>\n

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<\/em> 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.<\/p>\n

All these anecdotes also illustrate the difference of opinion between workers in the trenches and CEOs in their glass-walled offices; in a survey<\/a> of 5,000 office workers, 40 percent said using AI didn\u2019t save them time, while 92 percent of executives said AI made them more productive.<\/p>\n

With this dissonance of opinion, something has to give. Employees\u2019 direct experience with AI show that detailed work that requires accuracy still needs trained human discernment, which can\u2019t be easily replaced by a bot, hence the spotty adoption and mixed views of people directly involved in production work. That\u2019s a tell that should blunt any eager CEO who\u2019s hot to replace workers with AI.<\/p>\n

This issue leads to a logical question that anybody with sense should start asking: if employees find that AI can\u2019t 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\u2019t that suggest that workers can\u2019t be replaced while CEOs could be replaced by a bot?<\/p>\n

That\u2019s a question some AI experts are starting to ask<\/a>, because it\u2019s becoming clear that regular office workers \u2014 the lifeblood of any company \u2014 can\u2019t be easily traded out.<\/p>\n

More on AI:<\/strong> AI Use Appears to Have a \u201cBoiling Frog\u201d Effect on Human Cognition, New Study Warns<\/a><\/em><\/p>\n

The post AI Is Turning Workplaces Into Hopeless Gridlock<\/a> appeared first on Futurism<\/a>.<\/p>\n<\/div>\n

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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\u2019s a problem, though: the workers who remain…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[177,3841,3842],"tags":[],"class_list":["post-10263","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-ethics","category-future-society"],"_links":{"self":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/10263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/comments?post=10263"}],"version-history":[{"count":0,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/10263\/revisions"}],"wp:attachment":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/media?parent=10263"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/categories?post=10263"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/tags?post=10263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}