The primary challenge is the availability of sufficiently large datasets with many separate stems/tracks. Those that find a way to build that, will have the abi

The primary challenge is the availability of sufficiently large datasets with many separate stems/tracks. Those that find a way to build that, will have the ability to churn out such a model using existing architectures. The companies doing AI mixing have a huge advantage in this area.