Yes, but training is the most expensive part of ML, for example GPT-3 is estimated to cost something like 1-4 million USD.

With ANN you can do it one time and then clone the result for negligible energy cost.

Maybe training a batch of PNNs in parallel could save some of the energy cost, but I don't know how feasible that is considering they could behave slightly differently during training causing divergence... Now that sarcastic comment at the bottom of this thread is starting to sound relevant "Schools".