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Enterprise AI projects aren’t producing value. Is ‘workslop’ one reason why?
It's more than likely, some researchers say.
Chief among them: AI doesn’t slot neatly into many workplace workflows, and most models still lack the contextual awareness needed to adapt to industry-specific tasks. Overall, BetterUp Labs estimates that companies with 10,000+ employees could be bleeding as much as $9 million a year in lost productivity thanks to the sheer volume of workslop — roughly 40% of all AI-generated output in the workplace, according to the report. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way.
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