AI has promised to make our work faster, smarter, and easier but when the outputs don’t meaningfully advance a task, they can create extra work, confusion, and frustration.
This issue has been termed “workslop,” and learning how to avoid it is the key to getting the most out of AI. Workslop is output that seems fine at first glance but can end up needing hours of proofreading, correcting, or rewriting. Think seemingly comprehensive reports that contain inaccuracies or strategies that sound reasonable but ignore business fundamentals.
That’s not to say AI is creating inefficiencies in the workplace. The studies tell us it is contributing to productivity gains, however for every 10 hours of efficiency gained through AI, nearly four hours are lost correcting, clarifying, or rewriting AI-generated content.i
Why workslop happens
Workslop tends to arise when AI is used without clear purpose, oversight, or collaboration.
If people treat AI like a magic wand or feel pressured to use it regardless of context, they often skip the step of critically deciding if it is the best way to achieve their aims or reviewing in detail what the tool produces. Because AI doesn’t inherently understand your project’s goals, jargon, or audience, outputs can miss key details, introduce errors, or be irrelevant even though what is created looks acceptable at first glance.
Part of the problem is also transparency. Data shows that 66 per cent of employees have avoided revealing when they use AI , while 55 per cent presented AI-generated content as their own, and 66 per cent used AI tools without knowing if it is allowed.ii When people hide AI use, it becomes much harder to catch mistakes and fix them before they snowball.
Tips to avoid workslop
Ask if AI is actually the best choice
Before generating something with AI, pause and ask whether this task genuinely benefits from it. If you cannot explain why AI helps here, it might be better to do the task yourself.
Treat AI output like a rough draft
Think of AI as your creative assistant, not a finished author. Always read carefully, fact-check, and refine the text or code you receive. If it contains errors, ambiguous phrasing, or incomplete reasoning, revise it before sharing.
Be specific with your prompts
The better your instructions, the better the output. Include context, audience, and purpose in your prompt. Generic instructions lead to generic outputs that often need more fixing.
Be transparent about AI use
Letting your team know when you’ve used AI and what you’ve checked, builds trust and makes collaboration smoother. When people assume everything is human-crafted, workslop can quietly propagate before anyone realises there’s a problem.
Improve your AI literacy
Learn how AI tools work and what their limitations are. The more you understand what they can and cannot do, the better you can guide them to useful results. Less than half of workers report receiving any formal guidance on this, so self-directed learning can give you an edge.
Supporting AI use at the organisational level
Employees benefit enormously when there are clear rules about when and how AI should be used. Policies that outline appropriate use cases, quality expectations, and review standards, help keep outputs useful and aligned with business goals.
AI literacy is critical. Organisations that teach people how to engage critically with AI see fewer errors and more thoughtful use. Education programs help people understand not just how to click “generate,” but how to evaluate, edit, and improve output.
Making it clear who is accountable for the quality of any work product also encourages people to check the output closely and take responsibility for what gets shared.
Making AI work for you
Workslop is not an unavoidable side effect of AI tools. It comes from how we use them. When we rush, skip checks, or hide our use of AI, we trade short-term speed for longer-term rework, wasted time, and even damaged trust.
A better approach is to use AI deliberately, critically, and collaboratively. Ask yourself whether you need it, take care with prompts and in reviewing outputs. When organisations support that mindset with training and clear expectations, everyone benefits from AI’s strengths instead of suffering through its pitfalls.
AI has enormous potential to enhance work. With the right habits and structures in place, we can get the benefits without creating unnecessary extra work.
i AI productivity gains offset by rework costs, study finds | hcamag
ii Major survey finds most people use AI regularly at work | The conversation
