OpenAI has reportedly signed about $1 trillion in compute contracts—roughly 20 GW of capacity over a decade at an estimated $50 billion per GW. These obligations dwarf its revenues and effectively tie chipmakers and cloud vendors’ plans to OpenAI’s ability to monetize ChatGPT‑scale services.
— Such outsized, long‑dated liabilities concentrate financial and energy risk and could reshape capital markets, antitrust, and grid policy if AI demand or cashflows disappoint.
EditorDavid
2025.11.30
90% relevant
The article documents market concern that Oracle’s borrowing to finance AI infrastructure is creating large, long‑dated commitments; this matches the idea that massive compute precommitments concentrate financial and energy risk and can destabilize firms and markets if monetization lags.
EditorDavid
2025.11.29
72% relevant
Reports of GPUs being repriced or product launches canceled and of firms stockpiling RAM illustrate how large, long‑dated compute bets and supply decisions can cascade into market dysfunction; the article gives near‑term evidence that heavy precommitments to compute can create concentrated supply pressures and financial risk.
msmash
2025.11.29
92% relevant
The FT reporting of ~$100bn in partner borrowing is a specific instance of the broader claim that AI firms have locked in extremely large, long‑dated compute and energy commitments; the article documents who (SoftBank, Oracle, CoreWeave, Blue Owl, Crusoe, Vantage) and how much (~$30bn + $28bn + potential $38bn) is on counterparties’ balance sheets, concretizing the precommitment/overhang risk described in the existing idea.
msmash
2025.10.07
100% relevant
Financial Times report (via Slashdot) that OpenAI’s 2025 deals total ~$1T and secure >20 GW, about the output of 20 nuclear reactors.