1. The least AI-fluent professionals overestimated their score by 40 points. The most fluent underestimated by 27. 67 point Dunning-Kruger gap.
2. Product managers outscore engineers on AI fluency (59.2 vs 53.7). Applied judgement beats technical knowledge.
3. HR people (ironically who make hiring decisions using AI) understand AI the least, with the lowest AI fluency score.
4. People consistently say they are good with AI, but 2 out 3 fail to reach even proficient level.
5. The average AI fluency score across 1,800 professionals is 48 — squarely in the Developing tier. Most people use AI regularly but without systematic practice.
6. Company-wide AI training assumes everyone starts from the same place. The data says starting points vary by 5x within the same team.
7. Same company, same tools, same training budget. The gap between the least and most AI-fluent employee in one team was 82 points (15 to 97).
If you are sceptical (rightly so) you can review our methodology here: https://aisa.to/methodology