From Harvard Business Review · · 3m
The AI work that wastes everyone's time
Employees overwhelmed by vague AI mandates are sending low-effort AI work to colleagues, damaging trust and team morale across organizations.
In brief
Employees overwhelmed by vague AI mandates are sending low-effort AI work to colleagues, damaging trust and team morale across organizations. Workslop, low-effort AI-generated work, stems from unclear leadership mandates and employee burnout rather than laziness, requiring systemic organizational change to fix…
What is workslop
Workslop is low-effort, AI-generated work that looks polished but wastes time by offloading cognitive work onto the recipient, breeding mistrust and damaging workplace relationships.
The cost to teams
At one company, vibe coding created critical bugs causing an engineer to resent his team so much he left with two days' notice. Trust eroded across the organization.
Research findings misused

A qualitative researcher felt gaslit when their manager put their findings into ChatGPT without permission. The results were incorrect and the discussion section was jargon-y nonsense.
“The results were incorrect and the discussion section was jargon-y nonsense.”
Performance reviews generated
An employee noticed their performance review tone was unlike their manager and recycled content from their self-evaluation. They felt unvalued and gave up hope of promotion.
The real problem
Workslop is not inevitable. Research shows it stems from unclear AI mandates and overwhelmed teams, not individual laziness. Leaders are issuing vague directives while employees are overburdened.
How widespread is it
Of one thousand one hundred fifty U.S.-based full-time employees surveyed, forty-one percent recalled receiving workslop that affected their work. More than half admitted sending it.
The quality problem
One in ten employees said that fifty percent or more of the AI-generated work they sent colleagues was actually unhelpful, low effort, or low quality. Fifty-three percent admitted doing this at least sometimes.
Pressure from above
Forty-one percent of employees reported that leadership encouraged them to use AI without detailed instructions or contextual understanding. Boards view AI as a lever to compensate for slowing productivity.
A manager's frustration
One company president said: As a manager of managers, I feel that I am being pushed to drive AI usage through the organization with no clear vision, which leads to constant frustration at the board…
“As a manager of managers, I feel that I am being pushed to drive AI usage through the organization with no clear vision, which leads to constant frustration at the board level.”
Why employees send workslop
Employees feel stretched too thin. Companies have consolidated roles and asked workers to take on more tasks without redesign. Psychologically depleted staff use AI performatively to show compliance.
Declining trust and performance
BetterUp's dataset of over four hundred thousand employees shows a decline of two to six percent since twenty twenty in foundational mindsets like focus and agility.
Workslop as symptom and accelerant
Workslop is both a symptom of deeper organizational strain and a potential accelerant. Left unchecked, it damages relationships, harms teamwork, and undermines trust across the organization.
Building competence reduces workslop
People with a sense of competence and control over AI tools are half as likely to create workslop. Companies can build this through AI literacy investments, sharing hidden practices, and deploying AI engineers to teams.
Trust cuts workslop by sixty-one percent
Building a culture of trust within teams is a protective factor against workslop. When people can admit to using AI, raise concerns, and ask for feedback without fear, they produce better work.
Three-level organizational response
Leaders must rebuild trust through collaboration, feedback, and dialogue. Create agency with clear AI expectations and explicit review processes. Establish AI collaboration architects to locate friction and connect AI to outcomes.
The human solution
To make AI work at work, organizations need to get better at being human. Leaders must make space for unpolished, slower-but-more-rewarding work of human collaboration without overburdening teams with AI mandates.
What to remember
Workslop, low-effort AI-generated work, stems from unclear leadership mandates and employee burnout rather than laziness, requiring systemic organizational change to fix.





