My understanding (that might be out of date) is that the tools are weak. Ideally you would have tabular data and it would give you a digraph for the causal structure between variables. You can try this but the tools don't work reliably yet. Otherwise everyone would use them.
Agreed. Afaict, in practice, you setup your own casual graphs and test them. This seems very academic 1950s.
Interestingly, folks are finally doing more realistic experiments in the casual equiv of arch search, and genAI is giving these efforts a second wind. Still feels like at the toy stage or for academics & researchers with a lot of time on their hands, vs relevant for most data scientists.
I'm still on the sidelines, but keep checking in in case finally practical for our users..
