美国可以靠AI打破中国稀土主导权？“极不现实”

Core Viewpoint - The United States is eager to break China's dominance in critical mineral sectors, particularly in rare earths, and is exploring the use of AI and quantum computing to develop alternative materials, aiming to reduce geopolitical risks in supply chains [1][2]. Group 1: AI and Quantum Computing Potential - AI and quantum computing are proposed as "dual engines" that could help design alloys using abundant materials, potentially shortening the time required to obtain critical materials from 10-20 years to just a few years [2]. - Current AI technology is not yet capable of delivering substantial results in mining and materials, and many ideas surrounding these technologies are seen as hype rather than practical solutions [2][4]. Group 2: China's Competitive Advantage - China has invested heavily in AI, advanced computing, and materials science, maintaining a significant lead in innovation speed and capabilities in creating new materials [2][5]. - The complete industrial ecosystem that China has built over decades makes it unrealistic for the U.S. to challenge China's position in the short term [5]. Group 3: Challenges in Material Development - Transitioning from alloy design to commercial-scale production is a lengthy process, and historical trends suggest that attempts to reduce reliance on one material often lead to increased dependence on another [4]. - Even if the U.S. successfully designs new materials in laboratories, challenges such as material stability, scalability, and cost control must be addressed before industrial application can occur [5].