Open research

Follow the physical buildout behind the AI economy

Company filings, official monthly revenue, price indices, and trade statistics—kept in their native definitions and published with the caveats needed to interpret them.

Open research datasets

Company capex

Issuer-level histories

Reviewed quarterly spend and annual outlooks in each company’s native definition.

Why these datasets belong together

Demand, suppliers, and pricing are different layers

Hyperscaler disclosures describe spending intentions and recognized capital expenditure. Taiwan company revenue shows activity across reviewed parts of the supply chain. Korean price and trade series add memory pricing and product-mix context.

No single layer proves end demand. Reading them together makes divergences visible without forcing incompatible units into one synthetic “AI capex” number.

Reviewed data, explicit limits

Pending evidence is excluded from published values. Missing company disclosures remain missing, source units stay visible, and historical backfills are not treated as point-in-time publication snapshots.

About the project lead