Problem: the labelling bottleneck
It's every machine learning researcher's nightmare: the need to source or create large volumes of labelled data. For a generic task, you can crowdsource the labels. It's laborious and time-consuming, but doable.
For an expert task? That's a whole different level: experts are rare, often unavailable, and always expensive.