Powering AI is an architecture problem
Grid-stability risks from AI infrastructure growth are a global infrastructure challenge, not yet an APS governance or policy concern.
Key points
- AI data centres create extreme, millisecond-scale power load swings that legacy grid infrastructure cannot absorb.
- A 2024 Virginia grid event traced lost load to data centre protection schemes that disconnected as designed but at the wrong moment.
- Limited direct relevance to APS AI governance or strategy work - primarily an infrastructure engineering concern.
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"Powering AI is an architecture problem"
Source: MIT Technology Review – AI
Published: 10 September 2026
URL: https://www.technologyreview.com/2026/09/10/1141649/powering-ai-is-an-architecture-problem/
This MIT Technology Review piece examines how AI data centres are exposing structural limitations in grid architecture. Unlike traditional industrial loads, AI campuses can swing 70% of their power draw in milliseconds during training runs, overwhelming legacy uninterruptible power supply designs and protection schemes built for smaller, more predictable loads. The article argues the problem is architectural rather than operational, illustrated by a 2024 Virginia grid event where standard protection logic caused cascading disconnections. The piece is primarily aimed at infrastructure and energy engineers rather than AI governance practitioners.
Retrieved from SIMS, 15 November 2026.