In this episode of Dazi’s AI Cycle Watch, we move beyond GPUs, data centers, and hyperscaler Capex to examine the application layer.

The key question is no longer whether companies are spending on AI infrastructure. The real question is whether that compute is turning into revenue, margin expansion, cash flow, and business model transformation.

As inference costs fall, AI is shifting from a productivity tool into a form of automated labor. AppLovin’s AXON engine, Meta’s AI-driven ad system, Palantir’s AIP platform, coding agents, and DeepSeek V4 all point to the same transition: the most valuable AI applications are not just adding a chatbot, but taking over real business workflows.

Traditional SaaS monetized seats. The Agent era may monetize tasks, usage, outcomes, and automation itself.

Price is only the result. Variables define the stage.
We don’t predict prices. We observe the cycle.