As far as I understand, AlphaZero had three main components:

1. A model of how Go worked, constructed by humans

2. A neural net for generating interesting moves, and a neural net for evaluating game positions.

3. A Markov search algorithm that used 1+2 to do pattern patching and search.

I will say that so far, #1 -- constructing mental models which can then be searched -- is something I haven't seen an AI do yet.

But looking at the actual work that I do -- from coding to deciding what to cook for dinner to deciding how to lay out my extension -- I'm pretty sure that behind the scenes it's exactly the same as 1+2+3 above; and that if I could download my mental model and my utility evaluator into a program, it could (with training) do all of the above faster and more consistently.