Workslop is AI-generated work content that masquerades as good work but lacks the substance to move a task forward. Researchers at Stanford’s Social Media Lab and BetterUp coined the term in September 2025, and it named something every desk worker had already received: the polished document that reads fine and helps nobody.
The original survey covered 1,150 full-time US desk workers. Four in ten had received workslop from a colleague in the previous month. Each piece took nearly two hours to repair. The researchers estimated the cleanup costs millions of dollars a year for a large organization.
The reputational data is the sharper half. 42% of recipients trusted the sender less afterward. About half saw the sender as less capable. Nearly a third said they would rather not work with that person again. Workslop reads as a statement about how much of your own attention you spent on the reader, and readers price it accordingly.
Follow-up research widened the picture. Workday’s January 2026 study found 85% of employees save one to seven hours a week with AI, and nearly 40% of that saved time is lost again to correcting and verifying machine output. Only 14% consistently come out ahead. The savings are real. So is the leak.
Avoiding the label takes a workflow, not a talent: verify every fact survived, read the draft aloud, cut the generic sentences, and measure the result before sending. That workflow exists as a free, open-source skill, and the full economics are in our post The Slop Tax.