2 1 Shi Ji Jing Ji Bao Dao·2025-11-07 10:37Core Viewpoint - The article discusses the potential bursting of the AI bubble in the U.S. stock market, highlighting the growing consensus on the risks associated with AI investments and the uncertainty surrounding the development of Artificial General Intelligence (AGI) [2][3]. Group 1: AI Market Dynamics - A recent survey indicates that 95% of companies using generative AI in the U.S. have not turned a profit from the technology [3]. - The narrative surrounding AGI has led to significant investments, with AI-related spending contributing more to U.S. GDP growth than all consumer spending combined [3]. - Projections suggest that by mid-2025, 92% of U.S. GDP growth could stem from massive AI investments, yet many companies, including OpenAI, are facing substantial losses [3]. Group 2: Market Reactions and Comparisons - Investors are beginning to short the AI bubble, with notable figures like Michael Burry indicating that excessive spending and low returns could lead to the collapse of leading AI companies [3][4]. - The current AI bubble in the U.S. is compared to Japan's economic bubble, where companies inflated asset values through mutual investments and high valuations [4]. - The establishment of numerous data centers in the U.S. and their bundling into bonds is likened to the mortgage-backed securities that contributed to the subprime crisis, creating hidden leverage risks [4]. Group 3: Competitive Landscape - The article contrasts the U.S. approach to AI, which focuses on the uncertain future of AGI, with China's pragmatic strategy that emphasizes industry applications and efficiency [5]. - Chinese investments in AI are directed towards specific sectors like autonomous driving and biopharmaceuticals, creating a more sustainable business model [5]. - Financial institutions like Goldman Sachs and Morgan Stanley are warning of potential declines in U.S. tech stocks while expressing optimism about China's AI and electric vehicle sectors [5].