What Really Scares Us When AI Starts “Distilling” Employees?
The article examines the hype around AI tools that turn employees' chats, documents, and emails into a compact “.skill” file, arguing that this so‑called “distillation” is merely knowledge capture, while true value—judgment, responsibility, and intuition—remains uncapturable and the anxiety surrounding it is deliberately manufactured.
“Distillation” Is Just a New Name for Knowledge Capture
Companies have long tried to turn individual expertise into organizational assets; Microsoft’s Knowledge Base two decades ago is a classic example. The goal is to extract personal know‑how and embed it in standard processes, manuals, or best‑practice documents so that the organization can survive employee turnover.
When AI enters the picture, the same practice is rebranded as “distillation.” The term evokes a high‑temperature, high‑pressure process that sounds dangerous, yet the underlying purpose—solidifying experience as an organizational resource—has not changed.
You Don’t Even Qualify to Be “Distilled”
Most people are merely carriers of public knowledge accumulated over millennia—finance, law, programming, design—downloaded onto their personal “hardware.” According to the author, 99.9% of workers are not creators of skills but transporters, often with gaps and errors in how they apply that knowledge.
Even if a “distillation” were possible, capitalists would target the 1% who truly master core competencies, not the average employee whose skills are largely interchangeable.
Many valuable abilities—such as a veteran salesperson’s instinct to sense a closing moment or a product manager’s knack for spotting genuine pain points—are difficult to document or quantify. As Polish economist Karl Polanyi noted, “We know far more than we can say.”
The Real Valuable Assets Aren’t in the Files
Typical AI agents that claim to create a “digital twin” rely on three files:
memory.md – the memory
skill.md – the skills
soul.md – the soul
The first two are straightforward: shared corporate knowledge and public skills can be recorded and copied. The third, however, is nonsense. Judgment, responsibility, and the willingness to own outcomes cannot be scripted into a document because they emerge from unpredictable, “no‑precedent” situations.
AI disclaimer footnotes—“large models may err, please judge carefully”—highlight that the system can offer many answers but bears no accountability. Humans, on the other hand, care because their judgments have real consequences that affect them personally.
Conclusion
“Distilling employees” is simply a rebranded effort to embed organizational capability, a practice that has long existed and will continue. What can be recorded and copied is of limited value; the truly priceless elements—personal judgment, relentless determination, and the courage to take responsibility—remain uncapturable and will always reside in the individual, not in any hand‑off document.
Architect's Journey
E‑commerce, SaaS, AI architect; DDD enthusiast; SKILL enthusiast
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