the alphago designers might have adjusted the level of search for each step based on its own estimate of winning probability. i.e. search less when it predicts itself winning. (so something like that).

so the actual time it spent versus different situation may be different. However, this is only due to an articificial parameter, it doesn't have to be set that way.