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美国不能让中国主导机器人世界
Guan Cha Zhe Wang· 2025-07-12 00:49
Core Viewpoint - The U.S. must lead in robotics technology during the AI era to avoid being overwhelmed by China's advancements in this field [1][10]. Group 1: Historical Context - The decline of manufacturing's share in the U.S. economy has been significant since the mid-20th century, necessitating a call for re-industrialization [1][5]. - The historical "American System," proposed by Alexander Hamilton, emphasized industrialization and urbanization, which laid the foundation for the U.S. becoming an industrial superpower in the 19th century [3][4]. Group 2: Economic Trends - From 1870 to 1920, U.S. economic growth was driven by industrialization at a rate three times faster than current growth, with a high immigration and tariff environment [5][6]. - The shift towards de-industrialization and a service-oriented economy has led to a significant slowdown in economic growth since 1971, contributing to a zero-sum mentality among the populace [6][10]. Group 3: Current Challenges - The economic transformation has exacerbated urban-rural divides, with rural areas suffering from a lack of economic opportunities due to de-industrialization [6][9]. - The current urban landscape is characterized by a divide between high-income knowledge elites and low-income service workers, pushing the middle class out of cities [9][10]. Group 4: Future Opportunities - The rise of AI presents a pivotal opportunity for the U.S. to innovate in hardware manufacturing, particularly in robotics and AI-driven technologies [10][12]. - The concept of "alien dreadnought factories," proposed by Elon Musk, could lead to significant job creation and economic growth, especially in rural areas [12][16]. Group 5: Policy Implications - Immigration policy needs reevaluation, particularly concerning low-skilled immigration, which may negatively impact the working class amid rising automation [13][14]. - Regulatory barriers in energy, critical minerals, and housing must be addressed to facilitate the growth of AI and re-industrialization efforts [15][16].