Dazi AI Watch 018-From GPU Dominance to Compute Restructuring: How AI Enters the Corporate Income Statement

The AI cycle is not ending. It is entering a harder phase: cost engineering and profit distribution.The key question is no longer whether AI will produce a consumer super app. The real question is whether AI can enter enterprise workflows, reduce costs, improve productivity, and eventually show up in revenue, margins, and free cash flow.In this episode, based on Dazi AI Cycle Watch 018, we discuss how AI infrastructure is evolving from single-GPU dominance into a system-level compute stack. GPUs remain central, but CPUs, ASICs, networking, memory, storage, neoclouds, and token unit economics are becoming equally important.As agentic AI moves from answering questions to executing tasks, the winners will be the companies that can turn CapEx into lower token costs, better inference efficiency, and measurable improvements in enterprise profit statements.Prices are only the result. Variables define the stage.We don’t predict prices. We observe the cycle.