Sou Hu Cai Jing·2026-02-07 10:29Core Insights - Elon Musk discussed the future of AI infrastructure in space, emphasizing that within 30 to 36 months, space will become the preferred location for AI data centers due to energy efficiency and scalability [4][10][27] - Musk highlighted the challenges of energy supply on Earth, stating that the growth of chip production is outpacing energy production, which could hinder AI development [4][45] - He predicted that in five years, the annual AI computing power launched and operated in space will exceed the cumulative total on Earth, potentially reaching 1 terawatt of power [4][27][74] Group 1: Space as AI Infrastructure - Musk believes that space will be the most economically attractive place for deploying AI due to the efficiency of solar panels in space, which can generate five times the power compared to Earth [8][21] - The construction of data centers in space is seen as a solution to the energy supply issues faced on Earth, where building new power plants is slow and complicated [11][24] - Musk stated that the average power consumption in the U.S. is currently 0.5 terawatts, and achieving 1 terawatt for data centers would require significant infrastructure [11][27] Group 2: Challenges and Innovations - The manufacturing of solar panels for space is expected to be cheaper and easier due to the lack of weather-related constraints, which eliminates the need for robust structures [21][23] - Musk pointed out that the bottleneck in scaling AI infrastructure will shift from energy to chip production once space operations begin [45][46] - He mentioned that the current global chip production capacity is insufficient to meet future demands, necessitating the establishment of large-scale chip manufacturing facilities [38][39] Group 3: Competitive Landscape - Musk warned that without breakthrough innovations in the U.S., China could dominate the AI and manufacturing sectors due to its advanced capabilities and larger workforce [74][75] - He emphasized the importance of addressing energy constraints to maintain competitiveness in the global market [66][67] - The discussion highlighted the need for the U.S. to innovate rapidly to avoid falling behind in AI and robotics, particularly in the context of manufacturing and energy production [75][70]