为对抗中国AI，美国想给这个冷战产物披上“新羊皮”

Core Viewpoint - The U.S. government is launching a new "Tech Corps" initiative to send thousands of American science and math graduates abroad to enhance foreign reliance on U.S. technology and reduce the global prevalence of Chinese competitive products [1][5]. Group 1: Initiative Overview - The "Tech Corps" program aims to deploy up to 5,000 American volunteers and advisors to partner countries over the next five years, focusing on promoting the adoption of U.S. AI hardware and software [1][5]. - The initiative will be announced by Michael Kratsios at the "India AI Impact Summit," marking a new mission for the historically significant "Peace Corps" [1][4]. Group 2: Historical Context - The original "Peace Corps" was established in 1961 to promote U.S. foreign policy through volunteer work in developing countries, serving as a tool for U.S. soft power [2]. Group 3: Strategic Goals - The Trump administration views winning the global AI competition as a top priority, aiming to increase the export of U.S. technology, including advanced processors from companies like NVIDIA [5]. - The initiative is designed to counter China's growing influence in AI, particularly in regions like South America, Africa, and parts of Europe, where China has been active in infrastructure development [5][7]. Group 4: Funding and Implementation - Funding for the tech initiative will come from corporate and philanthropic donations, with the organization receiving approximately $410 million in funding from Congress for the fiscal year 2026 [5][6]. - Recruitment and training for technology volunteers will begin this year, with an initial target of attracting 500 professionals for the first projects [6]. Group 5: Competitive Landscape - The initiative is expected to intensify competition between the U.S. and China in the Southern Hemisphere, where Chinese tech companies are gaining ground with low-cost products [7]. - Recent comments from Microsoft highlight concerns that U.S. AI companies are being outpaced by Chinese competitors, particularly in emerging markets where open-source models are rapidly gaining traction [8][10].