As global competition in artificial intelligence intensifies, Elon Musk has warned that the biggest challenge may not be AI models or advanced chips, but access to electricity.
Speaking during a conversation with podcaster Dwarkesh Patel and John Collison, the Tesla CEO highlighted what he described as a growing hardware and energy bottleneck that could limit the expansion of AI infrastructure worldwide. According to Musk, while the production of advanced AI chips is increasing rapidly, electricity generation in most parts of the world is not keeping pace.
“The availability of energy is the issue,” Musk explained to Dwarkesh Patel in an interview clip shared recently. He added, “If you look at electrical output outside of China… It’s more or less flat. Very slight increase, but pretty much flat.”
Musk pointed to China as the only major country significantly expanding its electricity output to meet the growing demands of AI development. He suggested that this could give China an important advantage as the race to build larger and more powerful AI systems accelerates.
He also questioned how large-scale AI data centres outside China would secure the electricity needed to operate and expand. “If you’re putting data centres anywhere except China, where are you going to get your electricity? Especially as you scale… How are you going to turn the chips on? Magical power sources? Magical electricity fairies?” Musk said.
Looking further ahead, Musk predicted that space could become the most cost-effective location for running AI within the next 30 to 36 months. He highlighted several advantages of orbital GPU data centres, including higher solar energy efficiency due to the absence of an atmosphere that blocks sunlight.
According to Musk, space-based solar arrays could capture continuous sunlight without the need for large battery systems. He added that orbital AI infrastructure could eliminate many of the costs associated with grid-scale backup power, making it an increasingly attractive option for future AI operations.
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