AI股上涨的“永动机”，还能继续吗？

Group 1 - The core viewpoint of the article highlights the optimism surrounding the AI wave, with significant gains in market capitalization for major tech companies, particularly in the U.S. and China, since the launch of ChatGPT, amounting to approximately $14 trillion in value growth for the seven largest U.S. tech firms [1][2] - NVIDIA's CEO Jensen Huang predicts that global annual capital expenditure on AI infrastructure will reach $5 trillion, and OpenAI may become the next trillion-dollar company [2][3] - Huang's analysis suggests that 55% to 65% of future global GDP will be AI-driven, with AI infrastructure potentially enhancing $50 trillion in value [3][4] Group 2 - NVIDIA has established a partnership with OpenAI to deploy AI data center infrastructure, becoming OpenAI's preferred strategic computing and networking partner [8][12] - The collaboration aims to address the exponential demand for computing power, with OpenAI's CEO Sam Altman emphasizing the industry's constraints due to computing bottlenecks [8][11] - NVIDIA's market capitalization stands at $4.42 trillion, making it a major beneficiary of the AI boom [4][11] Group 3 - The article discusses the "ONO" triangle alliance between OpenAI, NVIDIA, and Oracle, where each company plays a role in providing AI infrastructure services, leading to a cycle of investment and revenue generation [17][18] - Concerns arise regarding the sustainability of this cycle, with Huang denying that revenue and investment are linked, asserting that investments are based on confidence in OpenAI's future growth [20][21] - OpenAI is projected to incur significant losses in the coming years, raising questions about its ability to sustain its ambitious infrastructure plans without new funding [25][26] Group 4 - Despite the optimism, there are doubts about the actual demand for AI services, with only 3% of ChatGPT users being paid subscribers, indicating low dependency on the service [28] - The AI industry faces a projected revenue gap of $800 billion by 2030, highlighting the challenges in meeting the anticipated demand for computing power [29][31] - The article concludes that while major tech companies are heavily invested in AI, the market's perception of a potential bubble is growing, leading to increased scrutiny from investors [31][32]