Getting a good data set to train a model is usually the most time-consuming task. You need breadth amd depth of content so your model doesn't overfit and work for just a handful of narrow use cases.

Supervised learning algorithms need labeled data (e.g. classification tags) and this is traditionally done with people. If that can be done with AI, you can complete this 100x faster and probably more accurately.