智通财经APP获悉，在有报道称谷歌(GOOGL.US)正与Meta(META.US) 商讨出售其张量处理单元(TPU) 之际，摩根士丹利认为，这可能会为这家科技巨头的销售和盈利带来适度提升。以Brian Nowak为首的 摩根士丹利分析师团队在一份客户的报告中写道："如果谷歌通过第一方模式销售TPU，确实可以带来 实质影响。我们的敏感性分析显示，每向外部销售约50万块TPU，可能为我们高于市场预期的2027年谷 歌云收入预测带来130亿美元(约11%)的上行空间，并为2027年谷歌每股收益带来约3%(0.37 美元)的上行 空间。" 分析师解释称，如果谷歌的云业务增长加速，并且公司在半导体市场的扩张得以实现，这"很可能会支 撑谷歌获得更高的估值倍数(正如我们过去几个月观察到的那样)"。 分析师补充称，考虑到英伟达(NVDA.US)预计在2027年出货约800万块GPU(假设产能充足)，对于谷歌 而言，50万至100万块TPU的销售预测可能并非"不合理"。 分析师表示："就谷歌在大语言模型(LLM)方面的成功而言，我们认为英伟达今年在谷歌内部获得了更 多份额。谷歌在英伟达产品上的支出约为200亿美元，而在TPU ...

凤凰网科技讯 北京时间11月26日，据《商业内幕》报道，谷歌公司最近势如破竹，在大模型和自研芯 片领域均拿出上佳表现，一下子成为了市场宠儿，让对手OpenAI、英伟达感受到了压力。 2022年底，当OpenAI凭借ChatGPT一飞冲天时，谷歌一度陷入困境。由于谷歌在推出自己的聊天机器人 过程中屡次失误，一些最关注谷歌的人士甚至呼吁CEO桑达尔·皮查伊(Sundar Pichai)辞职。 然而，接近三年后，谷歌完成了一次不可思议的逆转。该公司全新的AI模型Gemini 3被证明是一次成 功，以至于Salesforce CEO马克·贝尼奥夫(Marc Benioff)宣布他将从ChatGPT转向使用Gemini 3。谷歌的 市值刚刚超越了微软，并且正朝着4万亿美元俱乐部迈进。今年，谷歌母公司Alphabet股价上涨了近 70%。 这表明，一直拥有各项竞争资源的谷歌，终于让所有环节实现了协同运作，从AI模型到触达用户的搜 索引擎等平台。 在快速发展的AI领域，没有哪一次胜利是稳固的，但谷歌从未显得如此强大。以下是《商业内幕》总 结的五点原因： 1.Gemini 3"赶超"ChatGPT 的高增长公司。 谷歌在上周 ...

凤凰网科技讯 北京时间11月26日，据《金融时报》报道，由于市场担心谷歌在AI领域正占据上风，一直被投资者看好的英 伟达股价周二遭遇下跌，市值缩水1150亿美元(约合8147亿元人民币)。 英伟达周二在早盘交易中一度下跌超7%，最终收跌2.6%。此次下跌还波及到了多家与英伟达相关的企业。 英伟达重要合作伙伴、服务器制造商Super Micro Computer股价下跌2.5%。甲骨文则下跌1.6%，该公司已承诺斥资数十亿美 元采购英伟达高性能系统。 英伟达持股6%的数据中心运营商CoreWeave股价下跌3.1%，其AI云服务竞争对手Nebius也下跌3.3%。 英伟达股价从高位滑落 相比之下，谷歌母公司Alphabet股价周二上涨1.6%，创下历史新高，距离4万亿美元市值里程碑更近了一步。 投资者将此次下跌归因于市场对谷歌自主研发的AI专用芯片张量处理单元(TPU)的追捧。谷歌上周发布了其最新大语言模型 Gemini 3，该模型被认为已超越OpenAI的ChatGPT。值得注意的是，谷歌模型训练采用TPU芯片，而非支撑OpenAI模型 的英伟达芯片。 琼斯交易公司的迈克·奥罗克(Mike O'Rourke) ...

Group 1 - Nvidia's stock price fell significantly, resulting in a market value loss of $115 billion (approximately 814.7 billion RMB) due to concerns over Google's dominance in the AI sector [1] - Nvidia's stock dropped over 7% at one point during trading, ultimately closing down 2.6%, affecting several related companies [1] - Since reaching a market cap peak of $5 trillion less than a month ago, Nvidia's market value has decreased by over $700 billion [1] Group 2 - Alphabet, Google's parent company, saw its stock rise by 1.6%, approaching a $4 trillion market cap, driven by investor interest in its AI developments [2] - The release of Google's latest large language model, Gemini 3, is perceived as a significant advancement, potentially surpassing OpenAI's ChatGPT, and is trained using Google's TPU chips instead of Nvidia's [2] - Analysts suggest that the impact of Gemini 3 could be as significant as the earlier DeepSeek model release, indicating a shift in market perception towards Google as a leading AI player [2] Group 3 - Google is reportedly promoting its TPU chips to potential clients like Meta as an alternative to Nvidia's chips for their data centers [3]

Core Insights - Anthropic's Claude model will utilize up to 1 million Google AI chips for training, valued at several billion dollars, aiming to enhance performance in the rapidly evolving AI sector [1] - Google, as an investor in Anthropic, will also provide additional cloud computing services, highlighting the significant demand for computing power in training, deployment, and ongoing inference of generative AI products [1] Company Developments - The transaction coincides with Google's expansion of the availability of its proprietary Tensor Processing Units (TPUs), which were previously used mainly for internal purposes [1] - Google is currently renting out TPUs through its cloud services, indicating a strategic move to monetize its AI hardware capabilities [1] Technology and Efficiency - Anthropic selected TPUs due to their high cost-effectiveness and superior efficiency, supported by the company's prior experience in training and deploying models using these processors [1]

Market Overview - US stock markets closed higher with all three major indices rising nearly 1%, marking a new closing high for the S&P 500 index at 6502.08 points, which is the 21st time this year it has closed at a record high [1] - The Dow Jones index rose by 0.77% to 45621.29 points, while the Nasdaq index increased by 0.98% to 21707.69 points, both near historical highs [1] Employment Data - The ADP private sector employment report for August showed an increase of 54,000 jobs, significantly below the market expectation of 68,000, indicating a cooling labor market [3][16] - Initial jobless claims rose to 237,000, the highest level since June, exceeding the expected 230,000, with the four-week moving average also reaching its highest since July at 231,000 [17] Federal Reserve Outlook - Analysts suggest that the Federal Reserve can no longer ignore changes in the labor market, with expectations for a rate cut in September being reinforced by the weak employment data [6] - The market pricing indicates a 97% probability of a rate cut by the Federal Reserve following the ADP report [16] Trade Developments - President Trump signed an executive order to implement a US-Japan trade agreement, which includes a 15% tariff on most Japanese imports and a commitment from Japan to increase its purchase of US rice by 75% [9][20] Notable Stocks - Nvidia shares rose by 0.61%, while Amazon saw a significant increase of 4.29% [11] - In contrast, Alibaba's stock fell by 4.04%, and Tencent's shares dropped by 1.00% [13] Global Market Indices - European markets showed mixed results, with the UK FTSE 100 up by 0.42% and the French CAC 40 down by 0.27% [12] - Asian markets experienced declines, with the Hang Seng Index down by 1.12% [12]

Company News - Amazon (AMZN.O) has deployed 1 million robots globally [2] - Circle (CRCL.N), a stablecoin issuer, has applied to establish a national trust bank in the U.S. [2] - Vodafone (VOD.O) has partnered with AST SpaceMobile to form a new joint satellite venture called SatCo [2] - Boeing (BA.N) has appointed Jesus Jay Malave as the successor to the Chief Financial Officer (CFO), set to take office on August 15 [2] - Xpeng Motors (XPEV.N) delivered 34,611 vehicles in June, a year-on-year increase of 224%, marking the eighth consecutive month of deliveries exceeding 30,000 [2] - Li Auto (LI.O) delivered 36,279 vehicles in June, a year-on-year decrease of 24%, with a total of 111,074 vehicles delivered in the second quarter [2] - NIO (NIO.N) delivered 24,925 vehicles in June, a year-on-year increase of 17.5%, with 72,056 vehicles delivered in the second quarter of 2025, representing a year-on-year growth of 25.6% [2] - OpenAI spokesperson stated that while the company is using some of Google's (GOOG.O) tensor processing units (TPUs) for early testing, there are currently no plans for large-scale deployment of these chips [2] - Tesla (TSLA.O) saw a 64.4% year-on-year decline in new car registrations in Sweden for June, a 61.57% decline in Denmark, while experiencing a 53.8% increase in Norway and a 60.7% increase in Spain [2]

Core Insights - Morgan Stanley indicates that OpenAI, supported by Microsoft, may utilize Google's Tensor Processing Units (TPUs) for its AI inference tasks, marking a significant endorsement of Google's hardware technology [1] - The use of Google's TPUs signifies a diversification of OpenAI's suppliers, which previously relied solely on NVIDIA's chips for training and inference calculations [1][2] - This partnership is expected to accelerate the growth of Google Cloud's business and enhance market confidence in Google's AI chip capabilities [1] Company and Industry Analysis - OpenAI is recognized as one of the most notable TPU customers, alongside Apple, Safe Superintelligence, and Cohere, highlighting Google's decade-long development of AI infrastructure [2] - Despite not being able to access Google's most advanced TPUs, OpenAI's choice to collaborate with Google underscores the latter's leading position in the broader Application-Specific Integrated Circuit (ASIC) ecosystem [2] - The decision to use Google's TPUs may be influenced by the limited supply of NVIDIA GPUs due to high demand, which could negatively impact Amazon's AWS and its custom Trainium chips [2] - OpenAI's collaboration with Google allows it to run AI workloads across major cloud service providers, including Google Cloud, Microsoft Azure, Oracle, and CoreWeave, with Amazon being a notable absence [2]

Core Insights - OpenAI has begun utilizing Google-made AI chips, specifically Tensor Processing Units (TPUs), for its products including ChatGPT, marking a significant shift from its previous reliance on NVIDIA chips [1][2] - This collaboration indicates OpenAI's strategy to diversify its suppliers, as it has historically depended on NVIDIA for both training AI models and executing inference calculations [1] - OpenAI anticipates that leasing TPUs from Google Cloud will help reduce inference-related costs, potentially positioning TPUs as a cheaper alternative to NVIDIA GPUs [1] Group 1 - The partnership between OpenAI and Google represents a surprising collaboration between two major competitors in the AI field, aimed at addressing OpenAI's growing computational needs [1] - Morgan Stanley has released a report supporting Google, suggesting that if the agreement is confirmed, it would reflect Google's confidence in its long-term search business and accelerate the growth of Google Cloud, with a valuation exceeding 18 times [1] Group 2 - For Google, this collaboration coincides with its efforts to expand the external availability of its self-developed TPUs, which were previously used mainly for internal projects [2] - The partnership has attracted interest from other tech giants like Apple and competitors of ChatGPT, indicating a broader market interest in Google's TPU technology [2] - However, Google has reportedly not leased its most powerful TPU models to OpenAI, indicating a strategy to reserve its advanced versions for internal projects, including its own Gemini large language model [2]