“Workslop” refers to AI-generated work that looks polished and professional but lacks the real substance to move a task forward, according to new research by BetterUp and the Stanford Social Media Lab.
The term, coined in their joint report, describes a growing workplace problem: output that appears competent yet contributes little of actual value. Gabriella Niederhoffer, vice president of research labs at BetterUp, and Jeff Hancock, founding director of Stanford’s Social Media Lab, found that this phenomenon is spreading as AI tools become more common in offices.
Like AI-generated art or other “slop” content before it, workslop feels oddly familiar yet hollow. It often consists of long, overly elaborate, copy-pasted text that sounds important but communicates almost nothing.
In a survey of 1,150 full-time U.S. workers, around 40% said they had received workslop in the past month. Respondents estimated that roughly 15% of the work they get fits this description — low-effort, unhelpful, and likely AI-produced. The trend appears across industries but is especially noticeable in technology and professional services.
One finance worker recalled receiving AI-generated material from a colleague:
“It created a situation where I had to decide whether to rewrite it myself, make him redo it, or just call it good enough.”
A retail director described similar frustrations:
“I wasted time chasing down information, meeting with other supervisors to fix mistakes, and eventually redoing the work myself.”
Hancock said there are clear signs of workslop, such as “purple prose” — using several paragraphs when a single bullet point would do. The content may take different forms — sloppy code, incomplete presentation slides, or awkwardly worded emails — but the result is the same: extra effort for others, confusion, and lost productivity.
Niederhoffer admitted she has felt judgment toward colleagues who send her workslop:
“Why did they do this? Can they not finish the job themselves? I don’t trust them. I don’t want to work with them again.”
Ultimately, she said, the result is a mix of confusion, annoyance, wasted time, and growing distrust within teams — a reminder that polished output isn’t the same as meaningful work.