If training is cheaper, then costs go down and models become both cheaper and more profitable. Training be scaled up to make the models smarter and larger. Distillation can bring those benefits to smaller models.

Training is a pure cost - inference is wildly profitable if you ignore training. Reducing training costs improves the economics of LLMs significantly.