Makes me wonder if the next frontier of chess is to figure out a reliable way to have computers play at each particular level authentically rather than making r

Makes me wonder if the next frontier of chess is to figure out a reliable way to have computers play at each particular level authentically rather than making random mistakes. For instance, establish a particular ELO against humans, then play computer versus computer enough with various deficiencies introduced (worse opening book, worse calculation or scoring) until you establish a desired level. Could Google's deep learning approach they used for Go be turned against chess to beat existing programs? Or is there something about chess that, despite the smaller search space, makes it less amenable to the Google approach?