That's something which was mentioned when it came to deep mind team talking of all the "different agents" they had trained
AlphaStar's training process consisted of two phases: an imitation-of-human-players learning phase that created a base set of "templates" and then self-play among agents seeded from those templates.
When creating those templates, they basically ended up with "baked-in" build orders. But self-play among agents ended up creating a variety of reactive strategies on top of those build orders, so that agents would modify them on-the-fly as the game situation changed. At a high level this is basically how humans use build orders as well.
Both of those (and more) are filtered by EAPM measures (effective APM) and even on those metrics Alphastar still had a lower EAPM count than most pros.
I mean looking at that Serral game I don't see any superhuman micro on the part of Alphastar. Just fantastic exploitation of base layout and steadily pressing every strategic weakness Serral made in his attack.
If anything on the consistency front, Alphastar's main advantages came from superhuman macro (effectively never forgetting about making sure workers are busy), but the edge there vs human pros is pretty slight.
> steadily pressing every strategic weakness Serral made in his attack
Again a very micro limited activity. Alphastar wasn’t very superhuman in that someone could get those inputs down about that quickly, they just can’t keep the pace up over time. Endurance is one of those human limits that is often ignored when talking about esports, but it’s real and huge influence on gameplay.
Protoss Alphastar was fantastic. It was definitely not just out-microing opponents (after later refinements Alphastar's micro limitations were very human-like), but really had an understanding of build orders, positioning, choke points and the like. Here's a great game it played against Serral (one of if not the top Zerg player in the world) where it holds fantastically against Serral's aggression and is able to use the layout of its own base to pick apart what looked like a winning position for Serral: https://www.youtube.com/watch?v=C6qmPNyKRGw