AI models are using vast amounts of energy, raising greenhouse gas emissions considerably. Tech firms and governments are advocating for an energy revolution to keep pace with AI development. A solution being explored is nuclear energy. The latest AI models, particularly large language models, demand more computational power and energy. In response, tech giants are investing in nuclear energy to support AI advancements. Major companies like Meta, Google, Microsoft, and Amazon have committed to net-zero emissions, with timelines stretching from 2030 to 2040. Each has recently made deals with nuclear energy suppliers. Meta CEO Mark Zuckerberg identifies energy as the main limitation for AI progress, noting Meta's high energy and water usage for its Llama model.

Nvidia, a leading chip designer, has improved its energy efficiency with the launch of its new AI chip, Blackwell, which surpasses its predecessor in speed and energy performance. Despite these advancements, Nvidia's CEO Jensen Huang noted the long-term energy investment in AI will ultimately be beneficial as AI grows smarter, potentially aiding in energy-saving arenas like carbon storage and new energy technologies. OpenAI CEO Sam Altman is particularly focused on nuclear energy investment, with stakes in nuclear startups like Helion Energy and Oklo. President Biden's administration supports nuclear energy, committing $900 million to future nuclear technologies. This government backing is crucial to overcoming regulatory hurdles in nuclear energy deployment. AI's energy consumption continues to grow; OpenAI's GPT-4, for instance, uses significantly more electricity than an average U. S. household. A report by McKinsey predicts that by 2030, data centers could account for 11-12% of U. S. power demand, highlighting the urgency for scalable, clean energy solutions.