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    Home»Big Tech & AI»‘Magical Electricity Fairies?’ Elon Musk Warns AI Chips Growing Exponentially but May Go Unused

    ‘Magical Electricity Fairies?’ Elon Musk Warns AI Chips Growing Exponentially but May Go Unused

    By Henry KanapiFebruary 6, 20262 Mins Read
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    Tesla and SpaceX CEO Elon Musk says US Big Tech may face a day when it has an overabundance of valuable AI chips that don’t get turned on.

    In a new interview with Dwarkesh Patel, Musk warns that global power generation outside China is failing to keep pace with the exponential growth of AI hardware.

    “Well, the availability of energy is the issue. So, I mean, if you look at electrical output outside of China, everywhere outside of China, it’s more or less flat. Maybe a slight increase, but pretty much flat. China has a rapid increase in electrical output. But if you’re putting data centers anywhere except China, where are you going to get your electricity, especially as you scale?”

    Musk says the massive imbalance between chip production and power generation creates a fundamental constraint on AI deployment.

    “The output of chips is growing pretty much exponentially, but the output of electricity is flat. So how are you going to turn the chips on? Magical power sources? Magical electricity fairies?”

    According to the tech titan, the solution is to send solar-powered AI satellites into space, which he predicted will happen in about three years. In December, Bank of America said energy generation in space is eight to 10 times higher than on the ground.

    With energy now becoming a huge limiting factor, Musk pushes back on concerns that large AI clusters in space will be impractical to maintain over time. He says GPUs are “quite reliable,” and servicing them is not an issue.

    “There’s inferred mortality, which you can obviously iron out on the ground. So you can just run them on the ground and confirm that you don’t have inferred mortality with the GPUs.

    Once they start working, and you’re past the initial debug cycle of Nvidia or whatever, or whoever’s making the chips, could be Tesla, Tesla AI6 chips or something like that, or it could be TPUs or Traniums or whatever. The reliability is actually quite high past a certain point.”

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