It seems to me, that with today's computing power, tools such as spearman's rank/correlation are completely useless. They uncover the exact same information as a regression, except they can't make predictions, can't establish cause and effect and don't fit with curvilinear data.

A regression on the other hand can do everything a Spearman's correlation can do.

So my question is. Why would anyone ever use Spearman's correlation?

I realize the question may sound provocative but I am here to learn, not blindly criticize the model. I just explained it the way I currently see it.