Why do you push back on historical comparisons between AI and the dot-com boom or automobile adoption?

Historical technological breakthroughs like the automobile, mobile phones, or early internet protocols offered obvious utility and scalable unit economics that steadily decreased in cost per unit. In contrast, generative language models require exponentially more data, electricity, and expensive training runs to achieve marginal accuracy improvements without lowering operational inference costs.