（全球TMT2025年10月11日讯）今日要点：中国对高通启动反垄断调查；字节跳动创始人张一鸣近年首次公开亮相；字节跳动宣布新的员工 补贴政策；滴滴自动驾驶获得D轮20亿元融资；英特尔新厂开始量产美国制造最先进芯片；OpenAI在阿根廷推进数据中心项目。 中国对高通启动反垄断调查 因高通公司(Qualcomm)收购Autotalks公司未依法申报经营者集中，涉嫌违反《中华人民共和国反垄断法》，市场监管总局依法对高通公司开展 立案调查。对此，高通公司回应称，我们正积极配合中国国家市场监督管理总局的有关调查。高通公司一直致力于支持我们的客户与合作伙伴 的发展与增长。 字节跳动创始人张一鸣近年首次公开亮相 字节跳动创始人张一鸣近年来首次公开亮相，现身上海徐汇知春创新中心。10月9日，由字节跳动创始人张一鸣、上海交通大学ACM班创始人 俞勇教授共同发起的上海徐汇知春创新中心正式开业。作为民办非营利性机构，该中心计划招聘对泛计算机和人工智能感兴趣的年轻人，从预 备研究员做起。张一鸣在现场发言中提到，创新中心希望培养思维活跃、有热情和韧性的人才，核心是独立思考和重视实践，关注长期和全 局，在探索中学习，保持平常心，放松自 ...

Core Viewpoint - The "Magnificent Seven" tech giants are experiencing significant stock price divergence, particularly in the AI sector, indicating varying market expectations for their revenue generation capabilities in AI [1][2]. Group 1: Overview of the Magnificent Seven - The "Magnificent Seven" includes Apple, Microsoft, Google, Tesla, Nvidia, Amazon, and Meta Platforms, which have been key drivers of the S&P 500 and Nasdaq 100 indices [1]. - These companies have attracted substantial global investment due to their strong fundamentals, robust free cash flow, and expanding stock buyback programs [1]. Group 2: Stock Performance and Market Sentiment - Nvidia, Meta, and Microsoft have seen stock price increases of over 20% since 2025, with Nvidia's stock rising by 30% this year, while Tesla, Apple, and Alphabet have experienced declines of 18%, 16%, and 2% respectively [2]. - Analysts suggest that the divergence in stock performance reflects the market's recognition of true AI leaders versus laggards [3]. Group 3: Upcoming Earnings Season - The upcoming earnings season is critical for the tech giants, especially for Nvidia, Microsoft, and Meta, as strong performance could further drive stock prices to new highs [4]. - Analysts are closely monitoring whether these companies will continue to increase their investments in AI infrastructure and if their earnings will exceed market expectations [11]. Group 4: Challenges Faced by Individual Companies - Apple has faced criticism for its slow progress in AI, with significant talent loss impacting its AI development efforts [7][8]. - Alphabet is dealing with regulatory pressures and challenges to its core search business, but analysts remain optimistic about its AI strategy [8]. - Tesla's stock has dropped over 18% this year due to declining EV sales and political controversies surrounding Elon Musk [9]. Group 5: Future Outlook and Investment Trends - Analysts believe that the current stock price divergence may be temporary, with potential for lagging companies to catch up if they successfully navigate the evolving AI landscape [13]. - The AI sector is expected to continue driving profitability growth, with significant investments in AI infrastructure from major tech companies [14][15].

Core Viewpoint - The article discusses the potential decline of Tim Cook's historical status as Apple's CEO, especially in light of recent executive departures and the company's lag in AI integration compared to competitors [1][5][6]. Group 1: Executive Departures - Jeff Williams, Apple's COO for 27 years, announced his retirement at the end of the year, and the head of Apple's AI business, John Giannandrea, recently left for Meta [1]. - The departure of high-level AI researchers raises concerns about Apple's leadership stability and innovation capacity [1]. Group 2: Stock Performance - Over the past year, Apple's stock price has decreased by 7.2%, while the S&P 500 index rose by 6.5% and the Nasdaq index increased by 12.9% [2]. Group 3: AI Integration Challenges - Apple is perceived to be significantly behind competitors in integrating AI into its products and services, with the launch of "Apple AI" failing to make an impact [5]. - The company has partnered with OpenAI for some functionalities of its virtual assistant Siri, indicating a reliance on external AI capabilities [5]. Group 4: Tim Cook's Achievements - Since Tim Cook took over as CEO, Apple's market value has surged from approximately $300 billion to over $3.1 trillion, reflecting a compound annual growth rate of 18.4% over 14 years [6]. - Despite these achievements, analysts note that Apple has not introduced any major innovative products during Cook's tenure, with a focus on process innovation rather than product innovation [6]. Group 5: Future Outlook - Concerns are growing about whether Apple is prepared for the disruptive changes brought by the AI revolution, especially as consumer habits may shift away from smartphones [7]. - There remains a possibility that Cook could surprise the market with a groundbreaking product or acquisition in the AI space, which could solidify his legacy [7][8].

Core Viewpoint - Apple's WWDC25 faced skepticism as the company failed to deliver significant advancements in AI, raising concerns about its competitiveness in the AI era [1][4][5] AI Developments - Apple introduced a new user interface called "liquid glass" and expanded functionalities for Carplay and AirPods, but focused more on design aesthetics rather than AI innovations [3][4] - The company announced plans to integrate code completion tools and OpenAI functionalities into developer software, indicating a focus on backend infrastructure rather than front-end interaction [3][5] - Analysts noted that Apple's AI advancements have been slow, with the company struggling to deliver on promises made a year ago regarding AI upgrades for Siri [5][6] Competitive Landscape - Competitors like Google and Samsung are rapidly advancing their AI capabilities, with Google showcasing AI integration across its product lines [7] - Analysts suggest that Apple may be at least three years away from launching a "truly modern AI assistant," while competitors have already integrated such technologies [7][10] Market Performance - Apple's stock has declined approximately 18% since the beginning of 2025, making it the worst performer among the "Big Seven" tech companies [8] - The company faces multiple challenges beyond AI, including potential impacts from U.S. tariff policies and legal issues surrounding its service business [8][9] Internal Challenges - Internal management issues and a lack of unified strategy have hindered Apple's AI development, with some teams advocating for aggressive investment while others are more cautious [5][6] - Privacy concerns have limited Apple's ability to collect data, further complicating its AI advancements [5][6] Future Considerations - Analysts emphasize that Apple must overcome three key challenges: keeping pace with cloud-based large language models, miniaturizing models for end-user devices, and developing advanced image and video models [10]