It will become winner take all when AI companies manage to really get value from user logs.
Right now they don't even get good feedback from local sessions - I can see it make the same mistake two days running, and then months later when a new model comes out, presumably trained on my data, it still makes the same mistake.
law of diminishing returns? i.e. any reasonable frontier lab will have enough user logs...