Data science where you need to keep ~50GB of data in RAM and do intensive things with it (e.g. loop over it repeatedly with numba). You can't get use out of more than 4 cores because memory bandwidth is the only limitation. The data is too big for AMD's cache to be a factor.

Threadripper is built for this. But I am talking about the consumer options if you are on a budget. Intel has significantly more memory bandwidth than AMD in the consumer end. I don't have the numbers on hand, but someone at /r/localllama did a comparison a while ago.