r/MachineLearning - [D] When will self-supervised learning replace supervised learning for computer vision tasks where unlabelled video is abundant?

If I understand correctly, both CPC and AlexNet used the same set of training images. CPC just didn't use labels, while AlexNet did. So, what about instances where a self-supervised network can be trained on 10,000x as much data as would be economically feasible to label? In these cases, are supervised learning's days numbered? The application I'm personally most interested in is self-driving cars.