Or fusion power. Or natural language conversations with computers (as opposed to largely rote voice recognition).
Deep learning/machine learning have made remarkable advances in recent years--primarily because of both computational (esp. GPU) and storage/data advances.
However, in spite of a lot of money and talent expended on understanding organic brains and human-level cognition over the decades, progress has been slow and there's a general belief among scientists who work in AI spanning CS and neuroscience that there are aspects to human learning and reasoning that we just don't really understand yet.
And that more deep learning, data, and programmed rules won't get you to autonomous vehicles outside of some limited domains. (Which is valuable by itself; it just doesn't get you to robo-taxies.)