Google is turning increasingly toward nuclear energy to support the enormous electricity demands created by the rapid expansion of artificial intelligence.
The technology giant has signed a long-term agreement with Constellation Energy covering 3,590 megawatts of electricity, including 890 megawatts of additional nuclear capacity.
The deal reflects a growing reality in the technology industry: the AI revolution is no longer only about computer chips and software. It is also becoming a race for electricity.
Google and other technology companies are building and expanding massive data centres capable of running increasingly powerful AI systems.
Those facilities require enormous quantities of electricity to operate around the clock.
890MW of new nuclear capacity
Under the agreement, Constellation will upgrade 11 existing nuclear units located in Illinois, Pennsylvania and New Jersey.
The upgrades are expected to add approximately 890MW of new nuclear capacity to the PJM electricity grid.
The first upgraded plant is expected to deliver additional electricity in 2028.
Constellation says the programme will require more than $4.3 billion in new investment and will help sustain thousands of existing jobs while creating additional construction employment. (Investing.com)
Google will purchase the electricity through a 20-year power agreement.
The companies also agreed to an additional long-term arrangement covering another 2,700MW from Constellation’s electricity fleet.
Why AI needs so much electricity
Artificial intelligence requires enormous computing power.
Training advanced AI models can require thousands of high-performance processors operating simultaneously.
Once those models are deployed, millions of users can interact with them at the same time, creating another significant demand for computing resources.
Data centres therefore need reliable electricity not just for the computers themselves but also for cooling systems, networking equipment and other infrastructure.
As AI adoption grows, technology companies are discovering that access to sufficient electricity can become a limitation on how quickly they can expand.
Nuclear power becomes increasingly attractive
Nuclear energy offers one feature particularly valuable to large technology companies: reliability.
Unlike solar and wind power, nuclear plants can generate electricity continuously regardless of whether the sun is shining or the wind is blowing.
That makes nuclear power attractive for data centres that operate around the clock.
The Google-Constellation agreement also demonstrates how existing nuclear facilities can be upgraded rather than waiting years for entirely new reactors to be constructed.
Google adds AI to the energy sector
The partnership goes beyond electricity.
Google and Constellation are also expanding their technology relationship, with Google Cloud and Gemini Enterprise being used to develop AI systems for energy operations.
Potential applications include monitoring equipment, improving power generation, planning infrastructure and helping protect critical energy systems.
In other words, Google is using AI not only as a major consumer of electricity but also as a tool for managing the infrastructure producing that electricity.
The growing AI-energy connection
The development represents a major shift in the technology industry’s relationship with the energy sector.
For years, the primary focus of the AI race was on chips, software and data.
Today, electricity is becoming just as strategically important.
Technology companies are signing increasingly large energy agreements as they expand data-centre infrastructure.
That could accelerate investment in nuclear power and other reliable electricity sources across the United States.
It could also create new debates about whether large data centres should pay the full cost of the additional infrastructure needed to serve them.
What it means for the future of AI
The Google agreement suggests that the next stage of the AI boom will be shaped not only by technological innovation but also by physical infrastructure.
AI companies need data centres.
Data centres need electricity.
And electricity infrastructure requires enormous investment.
The companies capable of securing reliable power at competitive prices may therefore gain an advantage as the industry expands.
Google’s nuclear agreement is an early indication that the future of artificial intelligence could be closely connected to the future of nuclear energy.
