M7 · Hyperscaler CapEx — Cash Flow Divergence: AI Infrastructure Capex vs. Shareholder Returns
Hyperscaler capex, quarter: $165.1 bn as of 2026-06-30.
Hyperscaler AI Capital Expenditure — Quarterly infrastructure capex tracking across top cloud hyperscalers driving the AI compute buildout.
The plate
The cohort has divided into distinct strategic paths: Microsoft, Alphabet, Amazon, and Meta channel massive operating cash flows into compute infrastructure, while Apple, Nvidia, and Tesla emphasize buybacks, fabless efficiency, or specialized industrial expansion.
What this page answers
This static page is built to answer searches for M7 · Hyperscaler CapEx. It summarizes the live dataset behind the Cash Flow Divergence: AI Infrastructure Capex vs. Shareholder Returns panel and links to the full interactive chart.
The cohort has divided into distinct strategic paths: Microsoft, Alphabet, Amazon, and Meta channel massive operating cash flows into compute infrastructure, while Apple, Nvidia, and Tesla emphasize buybacks, fabless efficiency, or specialized industrial expansion. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
Data & Source
GET /api/mag7/ai-capex.json — Canonical dataset endpoint.
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.