AI ‘workslop’ costs workers up to 6 hours weekly: Zety survey
NEW YORK, UNITED STATES — A study from career platform Zety reveals that low-quality artificial intelligence (AI) generated content, termed “workslop,” is silently eroding workplace productivity and morale.
According to a survey of 1,000 United States employees, a majority now spend up to 6 hours each week correcting AI errors. This burden is fueling stress and burnout as organizations prioritize speed over quality.
Rising tolerance for low-quality AI output
Although the adoption of AI into everyday workflows was meant to enhance efficiency, the Zety report suggests that it is also fostering a novel tolerance for underperforming work.
The data shows a distinct shift in quality standards, with only 39% of employees reporting that low-quality AI output is considered completely unacceptable and is subsequently corrected in their workplace.
This leaves a significant majority operating in environments where “workslop” is met with varying degrees of tolerance.
The acceptance is often motivated by tight deadlines. The survey found that 21% of workers say low-quality AI work is tolerable to some extent and is ignored when deadlines are met, and 9% say their workplace considers it tolerable altogether, with speed being valued above quality.
This cultural change implies that, with AI tools integrated, the definition of done is changing, often placing quality control on individual workers rather than on the content creator.
The report warns, “This gradual normalization of lower-quality work could make it harder to hold teams accountable and risks embedding inefficiency as a standard practice.”
The hidden impact on employee stress and burnout
The prevalence of “workslop” is translating directly into a significant and often invisible tax on workers’ time and mental health. The financial and career site’s research starkly quantifies this impact, revealing that 66% of workers spend 6 or more hours each week correcting errors generated by AI.
Instead of blowing the whistle, almost half (49%) of employees internalize this workload and correct the errors without systemic challenge or attribution.
This hard work with no reward is penalizing the workforce significantly. According to employees, work stress is a major or moderately damaging factor in their stress levels (70%), productivity (67%), and general morale (65%).
Moreover, over half (53%) associate the phenomenon with a higher risk of burnout, and 29% specifically cite increased stress as the cause.
These numbers represent a workforce that is silently being forced to keep the standards up as technological advances are making things faster, but not always better.
Organizational risks and generational differences
Beyond the individual toll, workers perceive substantial risks that “workslop” poses to their organizations. When asked about the top dangers, employees pointed first to wasted time and lost productivity (36%).
This is followed closely by concerns over the spread of misleading or false information (30%) and potential damage to the company’s professional reputation (24%), highlighting a fear that internal shortcuts could have external consequences.
A generational clash in attitudes towards AI-generated work is also revealed in the survey. Most employees (53%) feel that younger generations are more accepting of “workslop” than older employees.
This perceptual rift suggests a conflict point where multigenerational teams must balance the speed enabled by AI with traditional quality standards. It is not entirely clear how the workplace rules will be clarified or who will uphold integrity in the AI-enhanced future.
Ultimately, this trend threatens to rewrite the social contract of the office, shifting the burden of quality control from machine to worker and transforming a potential productivity tool into a hidden tax on human labor.
