OpenAI
CFO 인터뷰 2026 · Jun 2, 2026
“We're going up that kind of vertical wall of demand right now and there's just not enough tokens available.”
Sarah Friar · CFO
The bottleneck of the AI era is compute supply, not demand. Friar said: “If you want to buy more compute in 2026, good luck — I don't know where you'd get it,” expecting scarcity through 2026 and a still-limited 2027. The bottleneck is not a single GPU but everything — power, land, power infrastructure, regulation, racks, chip supply chain, memory, talent, and community trust — with a memory-demand surge already underway. A 1GW data center costs ~$50B fully loaded and takes ~3 years, so even the Michigan site won't deliver until late 2027/early 2028. Per-gigawatt compute cost is rising as power and memory get more expensive. A $122B raise closed in March 2026 secured ‘maximum optionality’; compute grew 0.2GW (2023)→1.9GW (2025) while OpenAI diversified beyond NVIDIA/Azure to AMD, Cerebras, a custom Broadcom design, and Oracle/CoreWeave/GCP/AWS. Where she feels shortest on compute now is 2030–2032.