But isn't that an important part of the value of neural networks? Mathematicians are expensive so we'd like a computer to make a model for us, just like drivers are expensive so we want self-driving cars.
The issue with that is NN fail in some really interesting ways so you still need a lot of effort to get a robust solution. Remember, after some serious investments by many organizations self driving cars are still in development. At the same time a few people have demonstrated a basic system that seems close without nearly that much investment. Unfortunately, the difference between a demo and working solution can be several orders of magnitude.