I think the opposite. First, Watson is not really GOFAI because it uses so much machine learning to populate its knowledge base. But second, I don't think any conceptual breakthrough is coming, or needed, in AI. Deep Learning is a great example of this - it achieves super-human levels of performance on some recognition tasks (such as street signs) despite being almost devoid of any
conceptual progress compared to, say, 1970. (At least, no conceptual
breakthrough). The fact that it outperforms an entire generation of advances in statistical machine learning (which supposedly obsoleted conventional AI by being vastly more rigorous) is stunning.
The basic reason there cannot be a conceptual breakthrough is because intelligence is not anything in particular. It is just a level of proficiency in a bunch of various areas, and the integration between them. Just a bunch of different hacks.