Foundational models can work where so far „needs human intuition“ was the state of things. I can picture a time series model with large enough Training corpus being able to deal quite well with typical quirks of seasonalities, shocks, outliers, etc.

I fully agree regarding how things have been so far, but I’m excited to see practitioners try out models such as the one presented here — it might just work.