Overview
- The companies say the system fuses Google and Westinghouse models with the WNEXUS 3D digital twin, drawing on Westinghouse’s Hive infrastructure and Bertha assistant to forecast bottlenecks, resequence tasks, adjust staffing, and reflect supply‑chain constraints.
- In a demonstration, optimizing an air‑handling equipment room cut the estimated cost by about $1 million, roughly 25%, and produced a revised schedule in seconds, according to Westinghouse’s chief data scientist.
- Westinghouse says the platform is moving from proof of concept toward production and claims AI could shorten typical construction timelines to five to seven years per plant.
- The plan calls for ten AP1000 reactors to be under construction by 2030 to help serve fast‑rising electricity demand from AI infrastructure and the broader grid.
- The Register reports that the Trump administration recently backed the reactor effort with an $80 billion financing deal, a detail not corroborated in the other materials.