The skills framework was built for a world where humans do the execution.
Hard skills: technical. Writing code, reading a balance sheet, modeling risk. Soft skills: interpersonal. Communication, leadership, judgment under pressure.
AI breaks this at the execution layer. It writes code. It reads documents. It models faster than any analyst. The hard skills most people spent years acquiring are now table stakes — not because they stopped mattering, but because the machine can cover them.
What remains isn’t a soft skill. It’s something the old taxonomy didn’t name, because humans had no choice but to execute themselves.
The new differentiator: knowing what to ask. Whether the output is right. What problem is worth solving. When to override. When to trust.
I built my entire research and publishing system with Claude Code. I’m not a developer. I built it because I could frame the problem clearly, evaluate the output honestly, and iterate from failure. The machine executed. I supplied the judgment.
That’s the category. Not hard, not soft. Call it orientation: knowing what good looks like before the machine starts.
People are racing to learn skills the machine already possesses. The question is what do you build that it doesn’t.