RT Robby Stein (@rmstein)(1/2) Today we’re starting to test a new way to seamlessly go deeper in AI Mode directly from the Search results page on mobile, globally.This brings us closer to our vision for Search: just ask whatever’s on your mind – no matter how long or complex – and find exactly what you need. You shouldn’t have to think about where or how to ask your question. ...

在11月26日接受Google DeepMind团队的Logan Kilpatrick采访时，谷歌CEO皮查伊详细阐述了谷歌如何 利用全栈优势和长期布局承接这一轮爆发： 自ChatGPT问世以来，英伟达（NVDA）几乎是"AI算力＝GPU＝NVDA"的代名词，但今年11月末的市 场风向突然开始变化。谷歌持续加码自研TPU，并吸引Meta等大型科技公司考虑采购，这让"英伟达一 家独大"的算力叙事第一次出现松动，标志着 AI 算力正从单一的"英伟达采购模式"向"GPU + TPU 双轨 赛跑"演进 。 受此影响，英伟达自高位回落，而Alphabet（GOOGL）股价则频创历史新高，资本市场正在重新评估 下一阶段的AI赢家版图。 TPU的崛起：算力不再只属于英伟达 GPU是"通用电网"，TPU是"为AI而生的核电站"：能效高、成本低、推理强。谷歌通过自研TPU实现 了"算力自治"，不再仅是英伟达的客户，而是拥有了从底层芯片到上层应用的完整闭环控制权 。 皮查伊最新访谈核心：全栈优势与长期主义 谷歌在这一轮竞争中之所以被认为"突然翻身"，不是因为发布了更强的模型，而是它用Gemini + TPU + 全栈整合能力，搭 ...

Alphabet Inc. (NASDAQ:GOOGL) is one of the 15 Best Performing AI Stocks Heading into 2026. On November 26, Citi reiterated its Buy rating on Alphabet Inc. (NASDAQ:GOOGL) with a price target of $343. Previously, on November 18, Loop Capital upgraded its rating on Alphabet Inc. (NASDAQ:GOOGL) from Hold to Buy and increased the price target from $260 to $320. The research firm said that worries about AI disrupting Alphabet Inc.’s (NASDAQ:GOOGL) search business have mostly disappeared. Analyst Confidence Gro ...

Group 1: Alphabet and AI Strategy - Alphabet is producing its own chips, which may position the company as a significant player in the AI sector, potentially surpassing NVIDIA in the long run [1] - The strategy of vertical integration allows Alphabet to control the entire AI stack, including custom chips, Search, YouTube, and Cloud infrastructure, which could enhance its dominance in AI economics [1] Group 2: ASX Market Dynamics - The ASX has experienced a significant selloff, resulting in a loss of $40 billion in market value [2] - Macquarie Asset Management has made a notable $11.6 billion takeover bid for Qube Holdings, offering $5.20 per share, which led to a 19.4% increase in Qube's share price [2] Group 3: Fixed Income Insights - A deep dive into bond ETFs compares passive and active options, discussing their risk levels and the appropriate conditions for ownership [2] - The Future Fund is shifting its strategy by selling fixed-rate bonds and investing in gold, indicating a response to ongoing market uncertainties [2]

Core Viewpoint - The article discusses the evolving dynamics between hardware and software companies in the AI era, highlighting the competition between Nvidia and Google as a key indicator of future trends in the industry [4][8][20]. Group 1: Historical Context - The article outlines the historical shifts in the tech industry, noting how different eras have favored certain companies: Google and Facebook in the internet age, Microsoft and Amazon in the cloud computing era, and Apple in the mobile internet era [4][5][6]. Group 2: Nvidia's Position - Nvidia has achieved a dominant position in the GPU market, with over 95% market share in training GPUs and a gross margin exceeding 75% [10]. - The company has transformed from merely selling chips to offering a comprehensive AI software suite, enhancing its platform control [10]. - Nvidia's order backlog extends to 2026, indicating strong demand from major cloud providers like Microsoft and Amazon [10]. Group 3: Google's Capabilities - Google possesses a robust AI stack, including the foundational Transformer architecture and advanced models like LaMDA and Gemini [13]. - The company has developed its own chips (TPUs) that compete with Nvidia's offerings in training efficiency [13]. - Google's extensive data ecosystem, generated from services like Search and YouTube, provides a unique advantage that is difficult for competitors to replicate [13][15]. Group 4: Market Dynamics - The article suggests that the AI landscape is shifting from a focus on infrastructure (who has more GPUs) to creating real value through AI applications [17]. - Key indicators of this shift include the increasing homogeneity of models and the rising importance of inference costs [17]. - Google’s integrated approach allows it to leverage its existing user base and data, positioning it favorably in this new phase [19]. Group 5: Competitive Landscape - The boundaries between hardware and software companies are blurring, with Nvidia venturing into software and Google developing its own chips [22]. - The article emphasizes that the true competitive advantage lies in creating a cohesive ecosystem that integrates hardware and software [23]. - Investors are encouraged to consider the potential for continued infrastructure investment favoring Nvidia or the value realization phase favoring Google [25].

Our next guest says Alphabet will be the best Mag 7 stock for the next year. Deep Waters Gene Monster joins us now. That's a bold bold bold statement.Why, Scott. It's for two reasons. Number one is that this bare case around them being able to compete and navigate with generative AI taken away from search.That bare case has been essentially addressed by them accelerating surge from the June quarter. Then again, comfortably beating by 300 basis points the growth for the street in the September quarter, givin ...

Core Viewpoint - Google parent Alphabet is recognized as a leading technology company primarily engaged in search, advertising, and cloud computing [1] Group 1 - Alphabet is often categorized as a core tech giant [1] - The company's main focus areas include search, advertising, and cloud computing [1]

Industry Trend Prediction - The open web may have approximately 250 days left [1] - A shift from search results to AI mode is anticipated, potentially marking the end of the web [1] Google's Business Model - Google is expected to switch the default search to AI mode [1] - This switch represents a complete change for Google's business model [1]

Core Viewpoint - Alphabet's stock has reached a new record high, driven by the launch of the Gemini 3.0 AI model and positive analyst ratings, amidst broader market volatility [1][3][5]. Group 1: Stock Performance - As of the latest update, GOOGL stock was trading at $296, reflecting an increase of nearly 5% for the day and a total rally of 55% throughout 2025 [1]. - The stock achieved a record high of approximately $303 during early trading on Wednesday [1]. Group 2: Catalysts for Stock Rally - The momentum in GOOGL's stock is largely attributed to the launch of the Gemini 3.0 AI model, which is considered the company's most advanced AI offering to date [3]. - The Gemini 3.0 model has been integrated into revenue-generating products, with AI Overviews reaching 2 billion monthly users and the Gemini app surpassing 650 million monthly users [4]. Group 3: Analyst Ratings and Market Sentiment - KeyBanc has reiterated an 'Overweight' rating for Alphabet, maintaining a price target of $300, citing the anticipated impact of the Gemini 3 launch and Alphabet's strength in full-stack AI as key drivers [5]. - Loop Capital upgraded Alphabet to 'Buy' and raised its price target to $320, highlighting significant upside potential from AI-led search growth and the expansion of the Gemini platform [6]. Group 4: Institutional Investment - Investor interest surged following Berkshire Hathaway's disclosure of a $4.9 billion stake in Alphabet, which underscores the company's AI exposure through Google Cloud and Gemini [7].

Core Insights - Google's capital expenditures are projected to rise significantly, from an initial estimate of $60 billion to a current projection of $91–93 billion for 2025, marking an increase of almost 50% [3][4] - The funding is primarily directed towards AI infrastructure, including servers, storage, and chips to support various Google services [4] - Google remains a top customer for Nvidia, with anonymous customers accounting for 39% of Nvidia's revenue, indicating strong demand from major cloud providers [5][9] Capital Expenditures - Google's capital expenditures guidance has increased from $75 billion in February to $85 billion mid-year, and now to $91–93 billion [3] - This represents a substantial year-over-year increase of 75% in capital expenditures [9] AI Infrastructure Investment - The investment is focused on AI infrastructure, including servers, storage, and cooling systems, as well as a large quantity of chips [4] - Google is implementing a dual-track strategy by leveraging Nvidia for flexibility while also utilizing its own Tensor Processing Units (TPUs) for efficiency and cost management [8][12] Nvidia's Role - Nvidia is a key supplier for Google, with the top three hyperscalers (Amazon AWS, Microsoft Azure, Google Cloud) commanding over 60% of the global cloud market [5] - Nvidia's sales have increased by 58%, driven by strong demand and pricing power [9] TPU Development - Google is focusing on TPUs, which are designed for efficient AI inference, as opposed to GPUs that are used for training [8][11] - The latest TPU generation, Ironwood (v7), is reported to be over 4 times faster than its predecessor, with significant improvements in computing power [11] Strategic Positioning - Google's strategy aims to optimize its reliance on Nvidia while enhancing its own TPU capabilities, which could lead to cost control and improved margins [14][17] - As TPUs take on more workloads, Google gains negotiating power with Nvidia, potentially reducing costs associated with chip purchases [13][15] Market Dynamics - The AI landscape is shifting towards inference, where TPUs excel, while Nvidia remains essential for flexibility in cloud services [8][10] - Google's strong position in AI across various services like Search, Ads, and YouTube supports the increased use of TPUs [12]