Exowatt closed a $50 million funding round in November 2025, led by MVP Ventures and 8090 Industries, extending the company's April 2025 $70 million Series A round to a total of $120 million raised. The startup, backed by Sam Altman and Andreessen Horowitz, is attempting to provide continuous,
In 2025, Google has taken its energy strategy to a new level by investing in fusion energy startups that could one day power the immense energy demands of AI systems. The company partnered with Massachusetts-based Commonwealth Fusion Systems, which raised over 1.8 billion USD in 2021 and is now
Despite its enormous energy consumption, AI has the potential to deliver significant environmental benefits. Research shows that the technology can improve building efficiency and optimise electric vehicle performance, leading to emissions reductions of up to 20%. This is especially relevant in the context of rising global energy demand and the
The rapidly growing energy demand of AI data centres in the United States is directly accelerating the expansion of renewable energy. Industry leaders argue that AI-driven investments require several gigawatts of new capacity each year, and with fossil fuels burdened by cost and supply risks, capital is increasingly flowing toward
A study published in Cell Reports Physical Science in September 2025 reports that a generative AI model screened over 1 million simulated crystal structures and identified porous oxide materials as promising candidates for next-generation energy storage. The research, led by Stanford University and Lawrence Berkeley National Laboratory, focused particularly on
The world’s biggest technology companies are pouring money into AI infrastructure at an unprecedented pace. Microsoft, Alphabet, Amazon and Meta together spent more than $300 billion on this area in 2025 alone. At the same time, Gartner estimates that global spending on data centres will reach $475 billion this
Hitachi Energy CEO Claudio Facchin warned in July 2025 that sudden energy consumption spikes caused by AI systems pose a significant risk to global power supply stability. The root of the problem lies in the operation of AI data centres, which have extremely intensive but unpredictable energy demands, presenting a
