Does Self-supervision techniques in computer vision and nlp tasks play any role in data centric AI?

Self-supervision techniques (like learning masked word predictions in nlp and image-crop similarity objectives in computer vision) could play an important role in data understanding and minimize human supervision at scale. What is your point of view about this ?