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Artificial intelligence in the workplace offers compelling benefits, such as faster execution, increased output, and better-informed decision-making. However, as organizations rush to implement AI, they often discover that speed and efficiency alone don’t translate into effective outcomes. Without the right guardrails and processes in place, overreliance on technology can introduce AI slop, which undermines productivity, trust, and quality.
In this article, Upwork, an online marketplace for hiring skilled freelancers, explains what AI slop is, the hidden costs of limited oversight, and how to maintain both productivity and quality while incorporating AI into your business.
What Is AI slop?
AI slop is output generated by artificial intelligence that seems adequate on the surface but falls short in substance. Outputs may include reports, presentations, messages, or code that appear grammatically correct and formatted properly but are missing depth, context, accuracy, or relevance. The end result is often content that creates more work than it saves.
Because AI outputs can seem accurate and look complete, they’re often accepted without adequate review. AI slop typically emerges when users don’t fully understand the limits of the tools they’re using, fail to apply appropriate oversight, or lack subject matter expertise. Unfortunately, this can mean passing along work that is flawed, vague, or simply wrong.
The hidden costs of AI slop
The effects of AI slop can compound quickly. At first glance, AI slop may seem like a minor inconvenience. But recent data shows that consequences are significant and widespread.
Low-quality work and reputational damage
Researchers from Stanford Social Media Lab and BetterUp Labs explored in September 2025 the implications of AI slop and coined the term “workslop” to describe the issue. Based on a survey of 1,000 full-time U.S. office workers, the research found that nearly 40% of respondents reported receiving some form of workslop — incomplete, low-quality content — in the previous month. Respondents estimated that more than 15% of the content they receive at work qualifies as workslop.
Put into perspective, this means that nearly one in six messages, deliverables, or reports may be unfinished, unclear, or require additional edits and cleanup before they can be used.
The emotional and reputational impacts can be significant. The research found that over half (53%) of the respondents say they feel annoyed, 38% feel confused, and 22% even feel offended when they encounter workslop. About half of the respondents said they view colleagues who send workslop as less capable, less reliable, and less creative. Additionally, 42% perceive those coworkers as less trustworthy, while 37% see them as less intelligent.
Burnout and lack of clarity
Even when productivity appears to be improving on paper, other implications o