As artificial intelligence continues to reshape workplaces globally, a peculiar and somewhat unsettling trend is emerging in China. Instead of resisting automation, some employees are actively accelerating it, not for their own roles, but for those of their colleagues.
At the centre of this shift is a concept gaining traction online, known as “skill distillation.” The idea is simple but powerful: break down how a person performs their job into structured, repeatable steps that can be learned by AI systems. This includes documenting workflows, decision-making patterns, and even communication styles.
While companies present this as a move towards efficiency and better knowledge sharing, employees are increasingly viewing it through a different lens. Many now believe that the same data meant to improve productivity could also be used to replace them.
Workers Turn AI Into A Strategic Tool
In response, some employees appear to be taking matters into their own hands. Reports suggest that workers are selectively using AI training tools to map out the tasks and workflows of their co-workers instead of their own.
A tool called “colleague.skill” has gone viral on GitHub, a platform widely used by developers. It allows users to analyse a person’s digital footprint, including emails, chats, and documents, and convert that data into an AI model capable of mimicking their work processes.
The implications are striking. By simplifying and digitising a colleague’s responsibilities, employees can make those roles easier to automate. The underlying strategy is clear: if certain roles become redundant due to AI, it is better that it is someone else’s job rather than their own.
This behaviour reflects a deeper shift in workplace dynamics, where collaboration is, in some cases, being replaced by quiet competition driven by technological survival.
A Growing Countermovement Emerges
However, the trend has not gone unchallenged. As awareness grows, so does resistance. In a notable example, a developer in China has reportedly created a counter-tool called “anti-distillation.skill.”
The tool is designed to protect employees’ expertise from being easily absorbed by AI systems. It works by subtly altering work documents, keeping them clear and professional for human readers while obscuring the most critical details that AI relies on for learning.
This can include introducing vague phrasing, removing key steps, or restructuring information in ways that make pattern recognition difficult for machines. Users can also customise how much information they wish to conceal, depending on their level of concern.
The emergence of such tools highlights a new kind of arms race in the workplace, one where employees are not just adapting to AI but actively negotiating with it.
The Future Of Work, Or A Warning Sign
The rise of “skill distillation” and its countermeasures offers a glimpse into how AI could reshape not just jobs, but workplace relationships. What begins as a tool for efficiency can quickly evolve into a mechanism for competition and self-preservation.
While the long-term impact remains uncertain, the trend underscores a growing reality: as AI becomes more capable, the question is no longer just about whether jobs will change, but how far individuals are willing to go to protect their place within that change.
In the process, the modern workplace may be entering an era where technological advancement and human trust are increasingly at odds.
