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Evidence item

Goldman Sachs reports a $527 billion 2026 capex estimate for AI hyperscalers and identifies infrastructure categories including semiconductors, data centers, hardware, and power. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 10232

Source: Why AI Companies May Invest More than $500 Billion in 2026 · locator {} · excerpt hash sha256:a713d37cacb7b42cb3f1d0e74f4f44a0d93ec1edbc295746a8eefb47e484bab6

Exact excerpt
The consensus estimate among Wall Street analysts for the group’s 2026 capital spending is now $527 billion, up from $465 billion at the start of the third-quarter earnings season, continuing a trend of upward revisions. Equity gains have been concentrated in AI infrastructure companies, including semiconductors, hyperscalers and other data center operators, technology hardware providers, and power companies.

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