As a general thought about parallelizing all the things it's true though. When looking for speedups, parallelization granularity has to be tuned and iterated with benchmarking, else your speedups will be poor or negative.

I think the example case in this subthread was about making some long app operations asynchronous and overlapping, which is a more forgiving use case than trying to make a piece of code faster by utilizing multiple cores.