About
Material information is a term from securities law. It means the facts a reasonable investor would want before making a decision. Most of what gets written about the AI buildout is not that. It is narrative, forecasts and second-hand numbers. This publication tries to be the other thing.
The method
Each essay takes one concrete question and answers it from primary sources: prospectuses and annual reports, debt documents where they are public, government tenders and award conditions, power contracts, earnings transcripts, customs data. The workings are shown. Where the documents are silent, the essay says so rather than guessing, because the gaps are often the story.
The focus is the parts of the supply chain that get the least careful coverage: how the buildout is financed and who bears the risk, how power and land are allocated in constrained markets, and what is happening in Southeast Asia, where a great deal of capacity is being built and comparatively little is being written.
Who writes it
Armand Mohan is a Singapore-based lawyer with a background in capital markets. He is not a semiconductor analyst and does not pretend to be one. He reads documents for a living, and this is what happens when that habit is pointed at the AI supply chain.
What this is not
Nothing here is legal, investment or financial advice. Views are the author's own and not those of any employer. The publication does not cover matters the author works on professionally, and does not rely on any information that is not public. Corrections are welcome and will be noted in the essay they concern.
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