Tesla(US:TSLA) 3 6 Ke·2026-02-06 13:31Group 1 - Elon Musk emphasizes that the future of AI deployment will be in space rather than on Earth, predicting that within 36 months, space will become the cheapest location for AI deployment due to limitations on Earth's energy expansion [2][13][14] - SpaceX aims to achieve an extreme goal of launching Starship 10,000 to 30,000 times annually, with each launch carrying 100 to 150 tons, which is essential for scaling AI computing power in space [2][21] - Musk forecasts that in five years, the annual increase in AI computing power in space will surpass the cumulative total of all AI computing power on Earth, potentially reaching hundreds of gigawatts [14][21] Group 2 - The current global electricity supply is nearing a plateau, with most countries outside of China experiencing stagnant or minimal growth, making energy a bottleneck for large-scale data centers outside of China [5][9] - Space offers advantages for solar energy generation, including continuous power without atmospheric interference, leading to a cost of electricity in space that is one-tenth of that on Earth [7][13] - The physical constraints of building new data centers on Earth, which can take 30 to 36 months, further highlight the need for space as a viable alternative for AI infrastructure [8][10] Group 3 - Musk's vision includes utilizing lunar resources, such as silicon and aluminum, to manufacture solar panels and cooling structures on the Moon, while transporting complex chips from Earth [3][23] - The Moon could serve as a launch point for AI satellites, with a projected capacity of one petawatt (1 million gigawatts) annually, representing true scalability for AI in space [23] - SpaceX's ultimate goal remains Mars, but commercial viability must be established at each stage, starting with orbital data centers [3][24] Group 4 - The semiconductor industry faces challenges in scaling production, particularly in storage chips, which are critical for AI applications, leading Musk to plan for a dedicated storage chip factory [25][26] - The U.S. manufacturing sector is at a structural disadvantage compared to China due to population size and labor intensity, necessitating a shift towards automation and robotics for competitive advantage [27][28][30] - The development of humanoid robots, like Optimus, is seen as a strategic move to enhance manufacturing capabilities and reduce reliance on human labor in high-intensity jobs [32][34][35]