Business Insider reported yesterday that Citrini Research thinks the AI trade is moving from free AI to tokenomics. Good word. Every founder using agents feels it already. A chatbot answer is cheap. An agent that reads files, calls tools, tries again, tests code, writes reports and runs all day is a small factory consuming tokens, memory, GPUs and electricity. The demo looks like software. The bill looks like operations. Winners will measure cost per useful task: one bug fixed, one insurance claim processed, one radiology worklist triaged, one contract reviewed. Tokens will become like cloud spend after 2010. First nobody cared. Then AWS bills became a board topic. Local inference and edge AI matter for exactly this reason. If every useful workflow crosses a hyperscaler toll road every second, margins flow to the infrastructure owners. If more inference runs on PCs, phones, hospital servers, cars and factory machines, AI becomes an operating advantage instead of a subscription tax. The AI bubble debate is too abstract. The founder question is simple: can this intelligence lower unit cost? If yes, it compounds. If no, it is a very expensive toy.