or Dunning-Kruger doesn't self-correct anymore.
> TL;DR. The Dunning-Kruger effect, that is, the difference between what people think they can do
and what they can actually do, used to close and self corrects with experience. My hypothesis that I introduce in this post is that AI keeps it open: it increases confidence and splits real capability into "with the tool" and "without the tool." For companies, that turns intrinsic capability from a productivity question into a governance one, and it is the capability that quietly erodes.
- The ending that used to be guaranteed (more or less)
- About the Dunning Kruger curve
- What AI changes
- The Gap that no longer closes
- Does it really matter?
- What it means for companies
1. The ending that used to be Inevitable
Everyone knowns "Mount Stupid". Whether it’s the co-worker who’s researched a single online thread and wants to completely upend the operations of the team, or the new hire who’s watched a tutorial video and is convinced that everyone was doing everything incorrectly, we’ve all been there at one point or another.
The great thing about Dunning-Kruger is that there really is an ending to it. In the battle of experience vs. confidence, experience always wins. The difference between what you think you can do and what you can do is going to close on its own. There’s a simple, and really quite boring iteration that explains what happens: you do it, you break things, you mess up, but you figure it out. Until the day that your perception aligns with reality, the reality of the situation is going to keep the lights on.




