Self-driving is one of many applications of AI/ML to the real world, each of which likely requires high-quality labeled data to truly be production-ready. This includes other robotics, self-checkout like Amazon Go, natural language understanding, and more.

Second, self-driving as a problem space will need labels for a very long time. In an application where (1) verifiable model performance is paramount, and (2) the models need to be extremely robust for cars to be safe, the need for labeled data is only magnified.