AI work slop: What is it & how can UK businesses protect themselves?

Wait 5 sec.

A study has revealed that approximately 40% of UK employees receive ‘work slop’ caused by low-quality, AI-generated content. As a result, it is estimated that each instance of work slop takes up to 3.5 hours each month to correct, resulting in millions of pounds in lost productivity.It has been reported that as of mid-2026, approximately 78% of global businesses are using AI in at least one business function.Despite this, studies have revealed that 62% to over 80% of workers lack confidence or training in AI, with many reporting they don’t have the skills to use the tool in their daily tasks, which can lead to errors and work slop.What is AI work slop?Many workers are using AI to make daily tasks such as generating reports, emails, or code more efficient. However, if used incorrectly, workers can be faced with low-quality, AI-generated content that may look like a high standard at first glance, but after closer inspection, is inaccurate and requires hours of manual checking and corrections.To minimize AI work slop, there are several steps businesses can take:Make training a key objective: It’s inevitable that without appropriate training and guidance using AI software, errors will occur. Business owners should ensure that employees are trained in more efficient prompting and understanding AI limitations to reduce work slop. If training is implemented during the employee onboarding stage or as early in the project as possible, the chances of work slop will be significantly reduced.Start by brainstorming: AI must be used to enhance work, not to create it on its own. Before completing tasks that incorporate AI, it’s important to brainstorm how it can be used and the objectives you want to achieve. Where possible, create the bulk of content from scratch and use AI to support and enhance the end goal.Introduce a review process: AI-generated work should never be presented to senior stakeholders or clients unless checked by an experienced team member. Business owners should ensure that all AI-generated tasks are reviewed and fact-checked before being presented as the final version.An effective method is to create a mindset that AI-generated work has been created by an intern who has little knowledge of the industry. Reviewing work using this method will help to spot errors faster. Encourage transparency: To reduce AI work slop, business owners should encourage workers to use AI to support and enhance tasks, not to complete them altogether. It’s also important for workers to be clear about how AI has supported the tasks they’re working on to make the reviewing process more efficient.Encourage team feedback: One of the main ways to prevent continued work slop is to make colleagues aware that it has been spotted. More often than not, people will correct mistakes themselves, rather than be transparent and provide constructive feedback to their peers. Raising work slop in the early stages of the project will save time and prevent the issue from recurring. Create manageable workloads: Workers who are unable to manage their workloads will often complete tasks quickly using AI, which can result in work slop. To prevent this, promote quality over quantity throughout the business and ensure that unmanageable workloads don’t hinder this ethos. The key to AI successFor businesses using AI, the software should be used to elevate work and make processes more efficient, not cause delays and errors. If your business is looking to adopt AI, it’s important to be transparent with employees about when to use it and when to avoid it.Employees should have a strong mindset towards AI and have quality and value in mind at all times when understanding the outcomes they’d like to achieve. When planning tasks, we should ask ourselves: Will AI add value and additional insights to the project, and how will it move your goals forward? Once these points have been considered, it’s important to understand what AI can’t assist with, such as human perspective and strategic creativity. If you decide to use AI for the task you’re looking to complete, which is weighted towards human-powered thought and creativity, this is when work slop can be encountered, resulting in wasted time and resources.To summarize, AI should be used to generate valuable content and results. Asking yourself the questions mentioned above before you turn to the software will help to generate the best possible outcomes.An effective mental model that helps to prevent work slopBefore employees can use AI responsibly, they need to understand what it actually does. In "AI for Startup Leaders," we present a framework called A-R-C that captures the three core capabilities of AI:Agency: AI can work with tools, run code, and complete tasks on an employee’s behalf. For example, it can query data from your CRM, draft documents, or update a spreadsheet.Reasoning: AI can plan ahead and think through problems step-by-step. The latest models can break down complex challenges, consider multiple approaches, and work through logic chains.Context: AI can base its answers on the information you provide in each conversation. It can understand natural language, identify objects in photos, and parse data in spreadsheets.The A-R-C model is crucial, as many workers use AI as an encyclopedia and to state facts, which isn’t what the software was created for. When people rely on AI for facts, work slop can occur. To avoid this, workers should be educated on the main purpose of AI, reasoning over their business context and taking action.When employees understand A-R-C, they approach AI outputs differently. They recognize that AI is best used to reason from their business context rather than look up answers. Instead, they use AI to speed up how they collaborate with other teams and improve efficiency.We've featured the best AI website builder.This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit