They are quite terrible at all of the other aspects: macro, broad strategy, tempo & timing, planning tactical surprises, etc.

This results in a very low overall competency, when it comes to winning games against highly skilled opponents.

It will be a challenge for researchers to improve performance in these areas. The problem space is very complex -- it makes solving Go look like a cake walk in comparison.

As you note, that's only micro, and it's the easy part since you can do most of that with rather simple rules and just high apm (which is where the benefit compared to human players comes from). The interesting part for AI is how to get there, the longer-term planning, recognizing the enemy's strategy based on what it observes, reacting appropriately, etc. So far those are the things AIs have trouble with.