Exactly. If the task is to predict the next 12 values from a sample of 120 previous values, drawn from some computationally simple statistical process, it's mu

Exactly. If the task is to predict the next 12 values from a sample of 120 previous values, drawn from some computationally simple statistical process, it's much cheaper and easier to use old-fashioned, tried-and-true statistical methods. If the task is to predict millions of pixel values that make up an original work of art, or the pixel values over time that make up a deep-fake video, or the next set of values encoding the next best possible play in a game of Go, or the set of values that encode the entire structure of a protein, and so on, then you have no choice: You must use a deep neural network. Simple methods cannot do any of that.