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Natural Gas Likely to Power AI Growth Over Nuclear Energy

As AI’s energy demands surge, the promise of nuclear power as a clean solution faces challenges from slow plant development and limited capacity expansion. Instead, natural gas is becoming the default energy source for AI data centers, raising concerns about long-term emissions. Tech companies could influence greener practices, but the path forward remains complex.

Published May 30, 2025 at 03:14 AM EDT in Cloud Infrastructure

The rapid growth of artificial intelligence is driving unprecedented energy demands, especially from data centers that must operate continuously to support AI services. While renewable energy sources like solar and wind are appealing for their sustainability, their intermittent nature poses challenges for the always-on requirements of AI workloads.

Nuclear power, often touted as a steady and low-carbon energy source, seems like a natural fit for powering AI infrastructure. Nuclear plants provide consistent output, which aligns well with the constant energy needs of AI data centers. However, building new nuclear reactors is a lengthy and complex process, often taking years or even decades to come online.

Some existing nuclear facilities can be upgraded to increase output, such as the Columbia Generating Station in Washington, which plans to boost its capacity by over 10%. Yet, these incremental improvements fall short of meeting the massive energy demands anticipated from AI expansion.

Consequently, natural gas has emerged as the default energy source to fill the gap. New natural gas power plants are being constructed to support data centers, but this reliance poses environmental concerns. These plants have lifespans extending beyond 2050, potentially conflicting with global climate goals aimed at net-zero emissions.

Interestingly, there is room for tech companies to influence a cleaner energy future. By reducing energy use during peak hours—even minimally—they could significantly decrease the need for new infrastructure. Additionally, advocating for carbon capture technologies and stricter methane leak controls in natural gas supply chains could mitigate environmental impacts.

The intersection of AI’s energy hunger and climate change presents a critical challenge. How we power AI will shape not only technological progress but also our environmental future. Balancing the urgency of AI innovation with sustainable energy solutions is a complex puzzle that demands strategic collaboration across industries.

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