19:24Your $20 AI Plan Costs Them Thousands. That's Not The Bubble.
Nate B Jones argues that 'is AI a bubble' is the wrong question because it compresses stock prices, private valuations, overbuilt data centers, weak pilot ROI, and real demand into one word. He separates the speculative financial froth on top from the physical supply chain underneath, citing OpenAI revenue going from about $2B to over $20B in two years, Anthropic growing faster, Nvidia's roughly $193.7B data center revenue, and hyperscalers citing capacity constraints rather than weak demand. The underexplained engine is inference: agents loop and burn tokens, so one agent run can cost thousands of times a chat turn, which is why hyperscalers now build factories for inference. His replacement frame is buildout versus payback, and the better question is who survives the sorting into reliable, affordable, high utilization inference.



