# Energy-gated compute means centralization by default

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2025-11-04
- **Theme:** Decentralized AI — https://www.gregosuri.com/predictions/decentralized-ai/
- **Source:** Sponsored Session: Powering PyTorch: Decentralized Training for an Energy-Hungry Future - Greg Osuri (PyTorch)
- **Watch at:** 00:04:26 — https://www.youtube.com/watch?v=T3nA1nAaLss&t=266s
- **Canonical:** https://www.gregosuri.com/predictions/decentralized-ai/2025-11-04-energy-gated-compute-means-centralization-by-defau-zmo6/
- **Cite as:** Greg Osuri, "Energy-gated compute means centralization by default," Sponsored Session: Powering PyTorch: Decentralized Training for an Energy-Hungry Future - Greg Osuri (PyTorch), 4 Nov 2025, 00:04:26. https://www.youtube.com/watch?v=T3nA1nAaLss&t=266s

## Quote — verbatim

> If compute access is functionally gated by energy, we risk centralization by default — only a few players can pay the bill. So here's the constraint in one line: AI demand is exponential; our energy response can't be linear. We need architectures that use energy smarter — spreading load, lifting utilization, and collocating compute with abundant, cheaper renewables.

## Context — site annotation, not spoken

Framing why energy must be treated as a first-class constraint in the training stack; "if we don't adapt, energy — not algorithms — will be the bottleneck for AI" ([00:19:55]).