Absolutely. The specific models and trends are evolving quickly, but I think there have been about 20 or 30 years of statistical machine learning as the core of everything we see AI having success with. That, in turn, is—at least as I talk about it—an instrumental use of correlations. Historian Matt Jones and data scientist Chris Wiggins have a fantastic book about this, How Data Happened, which details this shift.
I think we can focus on thinking of this like insurance: How do we regulate what insurance does? In the sense that it is addressing the goals, the outcomes and the processes, it is going to persist whatever new model comes out, if it is indeed based on correlations, as everything has been for the past 30 years and as everything currently is as well.
Now I'll pass it over.