The economics of the AI industry suggest that a profitable business model emerges when compute is allocated such that 50% supports training and 50% supports inference with a gross margin exceeding 50%.
Let’s say you pay $100 billion a year for compute. On $50 billion a year you support $150 billion of revenue. The other $50 billion is used for training. Basically you’re profitable and you make $50 billion of profit.