The issue is that different AI models still produce similar results in type-casting the audience. For example, Facebook, YouTube, and Spotify will recommend equivalent recommendations based on your history (most likely the most recent history is weighted). As audiences are more and more type-casted they are offered products and services based on the same principles. Until AI models include some kind of "wild card" factor the results will be homogenous. The fact you micro-segment and therefore see better advertising results does not indicate changing behaviors, the opposite is true - when un-related segments can be converted then AI can be said to change preferences.
The issue is that different AI models still produce similar results in type-casting the audience. For example, Facebook, YouTube, and Spotify will recommend equivalent recommendations based on your history (most likely the most recent history is weighted). As audiences are more and more type-casted they are offered products and services based on the same principles. Until AI models include some kind of "wild card" factor the results will be homogenous. The fact you micro-segment and therefore see better advertising results does not indicate changing behaviors, the opposite is true - when un-related segments can be converted then AI can be said to change preferences.