AI models drive convergence toward average intelligence and uniform UIs
Alexis Zhang argues that reliance on AI for research and design leads to a convergence of products and decisions across competitors. She contends that this “coverage to the mean” reduces creativity and necessitates human intervention to differentiate offerings.
Alexis Zhang discussed the phenomenon of “AI average intelligence,” where AI models produce the most popular, average answers, leading to a convergence of products and decisions across competitors. She noted that when companies use AI for competitive and market research, they often end up with similar product types and decisions. Zhang cited a specific example of UI design convergence, stating that purple is the most common color in cloud UIs, followed by blue, likely due to training data associations with modern UX. She mentioned that Astropic wrote a blog post about this trend, though she had not yet read it. Zhang argued that this convergence reduces creativity and that companies must still use human judgment to influence decisions based on specific customer knowledge to avoid all products looking the same.