Artificial intelligence promised to revolutionize the workplace. Reports in seconds, presentations polished in minutes, emails drafted instantly. Adoption has indeed surged: since 2023, AI use at work has nearly doubled, and the number of companies with fully AI-led processes has grown significantly. Yet despite the surge in adoption, most organizations are not seeing meaningful results. Recent studies show that 95% of companies report no measurable return on their AI investments.
A major factor behind this gap is a phenomenon researchers call “workslop”. Workslop happens when AI-generated work looks complete and professional but is incomplete, unclear, or unhelpful. It ends up creating more work for colleagues instead of reducing effort. A sleek presentation may impress at first glance but convey no real insight. A long AI-generated report may be read well but omit crucial details. An email may appear clear but leave recipients confused and in need of clarification. Workslop is work that looks finished but ultimately requires others to fix, clarify, or redo it.
The costs of workslop are significant. Employees report spending nearly two hours on average managing each instance of workslop. That amounts to approximately $186 per person, per month in lost productivity. For a company with 10,000 employees, this translates to over $9 million per year. Beyond the financial impact, workslop also affects trust and collaboration. Colleagues who send workslop are often seen as less capable, less creative, or less reliable, and some recipients report they would rather avoid working with them in the future.
Why does this happen? Because AI makes it deceptively easy to produce content that looks polished without completing the underlying work. AI cannot fully understand context, strategy, or nuance. What seems efficient for the creator often becomes a burden for everyone else.
Leadership is crucial to address this challenge. Simply encouraging employees to “use AI more” is not enough. Teams need clear guidance on which tasks are suitable for AI, and which require human judgment. Leaders should model purposeful AI use, emphasizing quality over speed. Research shows that employees who approach AI with high agency and optimism, sometimes called “pilots”, use it to enhance creativity and productivity. Those who use it primarily to avoid effort, “passengers”, are more likely to generate workslop.
AI can increase efficiency, support collaboration, and accelerate meaningful results. However, when used indiscriminately, it can introduce inefficiencies and erode trust among colleagues. Workslop may be quick to generate, but it carries significant costs in time, productivity, and workplace relationships. The companies that benefit most from AI will not be those using it the most, but those using it the smartest, where human judgment and machine output truly work together.
In the end, work that only looks complete is not complete at all. Workslop is a reminder that AI’s value depends not on quantity, but on quality.
Source: HBR
