CM Terminal / Independent research

The story says one thing. The pressure lands somewhere else.

CM Terminal is a filing-based research site on technology-infrastructure economics. It reads company filings — margins, capex, supplier pressure, and the limits of disclosure — to test where a technology story actually becomes real demand, and how that demand redistributes value, cost, control, and risk across the value chain.

Research framework

Four investigations. One analytical framework.

Filing-based. Value-chain. Disclosure against narrative. Each investigation tests a specific question against public-company metrics.

01

AI Infrastructure Economics

How does AI infrastructure demand change economic form as it moves through the value chain — showing up differently at compute platforms, foundries, memory suppliers, equipment makers, and facility infrastructure?

Output — Profit Capture vs Capital Burden

02

Cloud CapEx Translation

Is hyperscaler capital expenditure translating into proportional cloud revenue growth — or accumulating as depreciation burden before the revenue arrives?

Output — Translation gap ratio

03

Semiconductor Cycle Economics

Is the current AI/HBM-driven memory upturn structurally different from historical boom-bust cycles — or the early stage of a familiar pattern?

Output — Peak-to-trough drawdown table

04

AI Power Translation

When does AI power and data-center demand become financially observable in company disclosures — in orders and backlog figures, or only in qualitative language?

Output — Disclosure precision timeline

Independent research by

Aaron Qin

I study how technology narratives interact with physical and financial constraints, and where the two diverge. CM Terminal is where I publish the framework and the evidence.

About the research →