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Son dismisses Musk's space data center as costly; urges focus on ground computing

Son dismisses Musk's space data center as costly; urges focus on ground computing

October 14, 2026
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Son dismisses Musk

SoftBank Group founder Masayoshi Son has dismissed Elon Musk’s concept of space-based data centers as having limited practical value. According to Son, the true victors in the artificial intelligence race will be defined by terrestrial computing infrastructure, not orbital servers.

Why Space-Based Data Centers Fail to Justify Costs

During SoftBank’s mobile subsidiary annual shareholders meeting, Son outlined his reasoning. He argued that the primary benefit of space-based data centers—reduced electricity costs—is not a decisive advantage. In data center economics, power expenses are significantly lower than the capital and maintenance costs of hardware like chips. Any savings on electricity would be negated by high transportation, orbital maintenance, and data transmission latency, rendering the model unprofitable. When asked if SoftBank would align with SpaceX’s vision, Son replied, “In this battle for artificial intelligence, what happens in the next few years is far more important than what may happen in ten years.”

Strategic Focus on Terrestrial Infrastructure: $65 Billion Committed to OpenAI

While acknowledging Musk as a “remarkable driver of change,” Son emphasized that SoftBank’s strategy remains centered on building robust computing power on Earth. As Japan’s leading technology investor, Son has committed approximately $65 billion (441.15 billion yuan) to OpenAI, with further billions pledged for global data center and infrastructure development.

Global demand for computing power continues to surge, with SpaceX and Jeff Bezos’ Blue Origin both proposing orbital data centers to bypass terrestrial energy constraints. However, Son has chosen a different trajectory. He recognizes the intensifying AI competition but believes that OpenAI, Anthropic, and Google still have substantial growth potential. Son notes that the AI industry is in its early stages, with market size capable of expanding tenfold or even a hundredfold, far from reaching a static structure.

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