Capital expenditure. The four companies do not use perfectly identical accounting definitions. In July 2026, Microsoft reduced its reported calendar-year capex estimate from about $190B to about $175B because more future data-center leases will be classified as operating rather than finance leases. Microsoft stated that, apart from this accounting treatment, its underlying 2026 investment expectations were unchanged.

Meta economic interest. Zuckerberg's economic-interest percentage is calculated from proxy-reported beneficial holdings and shares outstanding. Meta itself describes his economic interest as approximately 13%.

Anthropic. In April 2026 the Long-Term Benefit Trust's appointees occupied four of seven board seats, a majority. Jay Kreps, an LTBT-appointed director, subsequently stepped down. Anthropic currently lists six directors, leaving three occupied LTBT-appointed seats. The decline shown here therefore measures occupied seats, not a reduction in the Trust's underlying charter authority to appoint directors.

Nvidia accelerator share. The >90% figure is an analyst estimate rather than a company-reported market statistic. No prior estimate with a sufficiently clear and comparable denominator is used to manufacture a trend.

Market-share measures. TSMC and cloud-provider shares rely on independent market-research organizations because individual company filings cannot by themselves establish industry-wide market shares.

Nvidia hyperscaler dependency. The percentages are calculated from Nvidia's recast market- platform disclosures: $37.869B of $75.246B in Data Center revenue in Q1 FY2027, versus $33.814B of $62.314B in Q4 FY2026. Nvidia defines “Hyperscale” to include public clouds and the world's largest consumer-internet companies.

Electricity. The IEA figure covers all data centers, not AI facilities alone. Its current central projection is roughly 950 TWh of global data-center electricity consumption by 2030. That projection provides context but does not determine the direction arrow.

Virginia NDAs. The 25-of-31 finding means researchers found at least one data-center-related NDA in 25 Virginia localities with an existing, approved, or proposed project. It does not mean that 25 projects were secretly approved or that the approvals themselves occurred “under” NDAs.

Political expenditures. The $53.9M figure is a secondary compilation of publicly disclosed independent expenditures across AI-linked federal and state political networks. It is not equivalent to money raised and should be treated as a publicly observable floor, not a comprehensive total of all political activity.