What LLMs Mean for Work
Here’s what I see how LLMs are already impacting our work.
From Muscle → Intelligence → Humanity and Judgment
The Industrial Revolution de-valued physical strength; LLMs are now commoditizing routine cognition. Within five to ten years, many of today’s white-collar skill sets will be irrelevant. Exam scores and coding prowess will matter less, because AI flattens the gap between the 99th and the 20th percentile. What remains scarce—and therefore valuable—are the uniquely human assets that machines cannot replicate: curiosity, taste, trust, aura, etc. I’d say humanity in other words. Another thing that will remain to us will be judgment, and sound judgment requires good value systems and goal-setting capability.A Short-Lived Arbitrage Window
LLMs are already a significant force-multiplier for productivity, yet most people still use them as novelty chatbots rather than to redesign workflows (partly because of caring about the impact on employement). That creates a near-term arbitrage: with no code and a little imagination, anyone can now build automations, services and sometimes entire businesses that once required teams of engineers. Drive and vision, not just technical skills, will pick tomorrow’s winners.Org Charts Will Be Redrawn
Just as factories reorganized labour around the assembly line, AI will reshape corporate structures. Teams will shrink, layers will compress, and small number of people make decisions based on the various options and researches provided by AI (used to be done by a large corporate team). Companies already restructuring around AI are seeing faster iteration cycles and lower overhead.Culture Becomes the Ultimate Middleware
When every employee uses a personalized AI, divergent value systems can cause never-ending internal conflicts (imagine people debating using AI forever). Tight alignment on mission and ethics therefore shifts from “nice to have” to existential. The organizations that thrive will be those whose members share clear mission—and use AI to march toward it, not to argue.
In short, LLMs don’t make humans obsolete; they make ordinary performance ubiquitous. What differentiates us next is not how much we know, but how deeply we care, imagine and connect.


