Westinghouse Demonstrated AI for Reactor Construction
The company showcased new artificial intelligence tools designed to streamline the assembly of AP1000 nuclear reactors.
Updated on Sept. 30, 2026 in Artificial Intelligence
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In November 2025, Westinghouse Electric Co. demonstrated a second-generation artificial intelligence system designed to optimize the construction of AP1000 nuclear reactors. The technology integrates vast amounts of construction data to facilitate real-time schedule adjustments while maintaining regulatory compliance.
Why it matters
The system aims to address significant financial and scheduling risks associated with complex nuclear infrastructure projects. By automating data integration, the technology helps ensure that large-scale builds remain within safety and operational parameters.
The AI system utilizes thousands of unique construction data points to make real-time adjustments to reactor building schedules. This second-generation platform focuses on seamless integration within strict regulatory and safety-first nuclear environments.
The players
Westinghouse Electric Co.
This company is a global provider of nuclear power technology and services.
Dr. Lou Martinez Sancho
Serving as the Chief Technology Officer at Westinghouse, she is a finalist for the 2026 POWER Executive Leadership Award.
The details
The technology builds upon earlier demonstrations, including the September 2024 unveiling of the HiVE system and the bertha AI assistant. The platform specifically targets the complexities of AP1000 reactor builds by streamlining decision-making processes.
Timeline
September 2024: The HiVE system and bertha AI assistant were demonstrated in London.
July 15, 2025: An AI proof of concept was presented at Carnegie Mellon.
November 2025: A second-generation construction tool was demonstrated.
The Tech Race
The Databricks award acknowledges industry-leading digital transformation, serving as a validator for Westinghouse's shift toward AI-integrated construction. This move reflects a broader industry movement to replace legacy project management with data-driven predictive modeling.
For stakeholders in energy infrastructure, this technology offers a clearer path to cost-efficient project completion. These advancements represent a practical shift in how large-scale industrial systems are managed for improved schedule reliability.
The takeaway
Artificial intelligence is becoming a critical tool for managing the extreme complexity of nuclear power plant construction. Adopting such automated oversight systems can significantly reduce the potential for expensive delays in capital-intensive energy projects.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
Source note: This article includes information reported by POWER Magazine.
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