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Energy Reporters

“They’re Letting AI Build Nuclear Reactors”: Google and Westinghouse Unleash Machine-Driven Power That Could Reshape the Planet

In a pioneering collaboration to streamline nuclear reactor construction, Westinghouse Electric Company and Google Cloud have integrated advanced artificial intelligence tools, marking a significant leap forward in the deployment of efficient and sustainable nuclear energy solutions.
Rosemary PotterRosemary Potter07/19/20256
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Illustration of the partnership between Westinghouse and Google Cloud using AI to advance nuclear construction, generated by artificial intelligence.
Illustration of the partnership between Westinghouse and Google Cloud using AI to advance nuclear construction, generated by artificial intelligence.
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IN A NUTSHELL
  • 💡 Westinghouse and Google Cloud partner to revolutionize nuclear construction through advanced AI tools.
  • 🔍 The collaboration leverages Vertex AI, Gemini, and BigQuery to automate complex engineering workflows and enhance efficiency.
  • 🚀 HiVE and bertha platforms optimize modular reactor construction, offering a pathway to reliable nuclear energy.
  • 🌍 This partnership signifies a transformative shift, positioning AI as a key player in the future of sustainable energy solutions.

In an era where the demand for sustainable energy is rapidly increasing, the intersection of artificial intelligence (AI) and nuclear technology presents a groundbreaking opportunity. Westinghouse Electric Company and Google Cloud have joined forces to harness AI tools for revolutionizing nuclear reactor construction. By integrating Westinghouse’s HiVE and bertha AI platforms with Google Cloud’s cutting-edge technologies, such as Vertex AI and Gemini, the collaboration aims to streamline complex engineering workflows. This partnership holds the promise of accelerating the deployment of nuclear power, making it more efficient, reliable, and environmentally friendly.

When AI Meets Atoms

The fusion of AI with nuclear technology is not just a futuristic idea; it is happening now. Westinghouse and Google Cloud’s collaborative effort harnesses the power of AI to enhance nuclear reactor construction. The tools involved, including Google Cloud’s Vertex AI and Gemini, are capable of analyzing vast amounts of data and automating complex engineering tasks. This combination is particularly crucial for the deployment of Westinghouse’s AP1000® modular reactors, which are designed to provide affordable and abundant nuclear energy to the U.S. grid. This collaboration signifies a transformative moment in nuclear technology.

Dan Sumner, Westinghouse’s Interim CEO, emphasized the importance of this partnership, stating that the integration of AI will optimize both the construction and operation of nuclear plants. A successful proof of concept has already been completed, showcasing the autonomous generation and optimization of construction work packages for AP1000 reactors. This achievement marks a significant step forward in transforming a traditionally labor-intensive process into a streamlined, repeatable workflow. Kyle Jessen from Google Cloud highlighted that AI is more than a tool; it provides a critical competitive advantage, showcasing the potential of this partnership.

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From Code to Core

Westinghouse’s HiVE and bertha platforms are at the heart of this AI-driven approach to nuclear construction. Introduced in September 2024, HiVE is a nuclear-specific generative AI system built on over seven decades of proprietary industry data. Bertha, named after Westinghouse’s first female engineer, is a large language model tailored for reactor lifecycle tasks, including maintenance planning and inspections. These platforms are supported by a team of dedicated nuclear engineers, ensuring that the AI-driven approach is not only innovative but also reliable and efficient.

The integration of these AI platforms is expected to help plant operators deliver more dependable and cost-effective electricity. This applies to both new AP1000 units and other advanced reactor technologies, such as the AP300™ small modular reactors and the eVinci® microreactors. The potential for AI to revolutionize the nuclear industry is immense, offering new pathways for the delivery of clean energy to homes and businesses. As electricity demand continues to rise, this collaboration between Westinghouse and Google Cloud positions nuclear power as a pivotal player in meeting future energy needs.

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The Broader Implications

The U.S. nuclear sector has seen limited growth over the past few decades. However, with the rising demand for electricity driven by data centers, electrification, and manufacturing, there is renewed interest in nuclear energy. The collaboration between Westinghouse and Google Cloud is not just about streamlining new reactor construction; it represents a broader shift towards embracing AI technologies in the energy sector. By leveraging AI, these companies aim to address the challenges of nuclear construction, making it more efficient and less resource-intensive.

Although specific deployment timelines for these AI-powered capabilities have not been disclosed, the partnership is expected to set a precedent for future collaborations in the energy sector. The integration of AI into nuclear technology could serve as a model for other industries seeking to harness the power of AI for innovation and efficiency. This collaboration highlights the potential for AI to play a transformative role in shaping the future of energy.

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Charting a New Path Forward

The partnership between Westinghouse and Google Cloud marks a significant milestone in the evolution of nuclear technology. By combining AI expertise with decades of experience in nuclear innovation, these companies are paving the way for a smarter and safer future. While the full impact of this collaboration remains to be seen, the potential benefits are substantial. As the world seeks sustainable energy solutions, the integration of AI into nuclear technology offers a promising path forward.

As we witness this transformative shift in the energy sector, one question remains: How will the integration of AI and nuclear technology continue to evolve, and what new possibilities will it unlock for the future of sustainable energy?

This article is based on verified sources and supported by editorial technologies.

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Rosemary Potter
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Rosemary Potter is a Berlin-based journalist for Energy Reporters, covering European energy markets, cross-border policy, industry innovation, and the challenges of energy transition. With journalism training in the U.S., she combines investigative depth with a continental outlook. Her reporting amplifies the perspectives shaping Europe’s energy future across sectors, borders, and technologies. Contact: rosemary.potter@energy-reporters.com

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View 6 Comments
6 Comments
  1. laurie on 07/19/2025 6:10 AM

    Wow, AI building nuclear reactors! What could possibly go wrong? 😅

    Reply
  2. elodie on 07/19/2025 7:00 AM

    Is it safe to let AI handle nuclear technology? 🤔

    Reply
  3. paula on 07/19/2025 7:50 AM

    This sounds like a game-changer for sustainable energy. Thank you for the insights!

    Reply
  4. karimwhirlpool9 on 07/19/2025 8:41 AM

    Can AI really optimize nuclear reactor construction better than humans?

    Reply
  5. Albert on 07/19/2025 9:31 AM

    I hope this doesn’t lead to Skynet taking over our power plants. 😬

    Reply
  6. Maxguardian on 07/19/2025 10:22 AM

    Interesting article! Could this reduce the cost of nuclear energy in the long run?

    Reply
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