Core Viewpoint - Vertiv is facing potential competition from Amazon in the cooling technology sector, which has led to a decline in its stock price by 7.3% following the news [1][2]. Group 1: Competition and Market Dynamics - Amazon is advancing in liquid cooling technology for its P6e-GB200 Ultra Servers, which enhances compute density and supports Nvidia Blackwell GPUs on AWS [3][4]. - The new custom liquid cooling system developed by Amazon was created in just 11 months and is now being deployed, indicating a significant move into the cooling technology space [4]. - Amazon has evaluated multiple liquid cooling solutions from other vendors but found them unsuitable for AWS, which may indirectly reference Vertiv [5]. Group 2: Implications for Vertiv - Vertiv's stock has increased approximately tenfold since 2022, largely benefiting from the AI boom, and it reported a 25% organic net sales growth in the first quarter [6]. - While Vertiv's near-term prospects appear solid, the entry of Amazon into the cooling technology market could pose challenges to its growth trajectory [6].

Core Insights - Amazon's next significant revenue generator is expected to be Amazon Web Services (AWS), which is evolving into a comprehensive platform for artificial intelligence tools [1] Company Analysis - AWS currently operates a substantial portion of the cloud services market, indicating its strong position and potential for growth in AI-related services [1] Industry Trends - The shift towards AI tools within cloud services is a growing trend, positioning AWS to capitalize on increasing demand for such technologies [1]

Core Viewpoint - Amazon is considering a significant additional investment in Anthropic, which would strengthen their partnership and position in the AI sector [2][3][4] Investment Details - Amazon's potential new investment could be a multibillion-dollar injection into Anthropic, building on its existing $8 billion investment [2][3] - This investment would make Amazon one of Anthropic's largest shareholders, surpassing Google's investment of over $3 billion [3] Strategic Implications - The partnership is crucial for both companies as they collaborate on major data center projects and the sale of Anthropic's technology to Amazon's cloud customers [4] - Amazon's strategy reflects a commitment to AI and technology integration within its broader business model, which includes AWS and retail operations [6] Competitive Landscape - The investment aims to provide a buffer against Microsoft's partnership with OpenAI, which has already gained a competitive edge in AI commercialization [3][5] - Both Amazon and Walmart are pursuing frictionless commerce, albeit through different strategic approaches, highlighting the competitive dynamics in the retail sector [6][7]

Core Insights - Amazon Web Services (AWS) has developed new hardware to cool next-generation Nvidia GPUs used for AI workloads, addressing the significant energy demands of these processors [1][2][3] - The In-Row Heat Exchanger (IRHX) was designed to integrate with existing and new data centers, providing a more efficient cooling solution compared to traditional methods [4] - AWS has launched computing instances named P6e, utilizing Nvidia's GB200 NVL72 GPUs, which are capable of training and running large AI models [5][6] Company Developments - AWS has historically created its own infrastructure hardware, including custom chips and storage servers, reducing reliance on third-party suppliers and enhancing profitability [6] - In the first quarter, AWS achieved its highest operating margin since at least 2014, contributing significantly to Amazon's overall net income [6] Industry Context - Microsoft, as the second-largest cloud provider, is also advancing in chip development, having designed its own cooling systems for its Maia AI chips [7]

Apple (AAPL -0.22%) and Amazon (AMZN -1.42%) are two of the largest companies in the world and are both members of the "Magnificent Seven" group of stocks. Both companies have delivered excellent long-term returns for shareholders, but does either investment stand out as a better one to buy right now?Let's take a look at both companies and see which one is the best buy today. Both companies have relatively slow revenue growthAmazon and Apple aren't the pinnacle of growth for big tech. Each company has poste ...

Artificial intelligence (AI) is proving to be the next big technology innovation, and investors don't have to look far to find the companies at the center of it. Some of the best opportunities in the tech sector lie with companies that are either powering the infrastructure behind AI or using it to improve their operations.Let's look at five top tech stocks to buy this month.NvidiaNvidia (NVDA 1.28%) is the top name in AI infrastructure. Its graphics processing units (GPUs) have become the main chips used f ...

Core Viewpoint - Amazon is favored over Microsoft as the better investment in the cloud computing sector due to its strong growth, AI integration, and cost advantages in its cloud services [1][15]. Amazon - Amazon Web Services (AWS) is the largest cloud computing provider globally, holding nearly 30% market share [3]. - AWS is Amazon's most profitable and fastest-growing segment, with a revenue increase of 17% last quarter, driven significantly by AI solutions [4]. - Amazon has developed custom AI chips, Trainium and Inferentia, which optimize performance and cost for AI tasks, providing a competitive edge over Microsoft [5]. - AI is also enhancing Amazon's e-commerce operations, with over 1 million autonomous robots improving warehouse efficiency and customer satisfaction [6]. - The company is leveraging AI for logistics optimization and enhancing third-party seller marketing through its growing digital ad platform [8]. Microsoft - Microsoft Azure has been a major growth driver, with a 33% year-over-year revenue increase last quarter, largely attributed to AI services [9]. - The company is facing capacity constraints and plans to increase capital spending in fiscal 2026, focusing on short-lived assets like GPUs and servers [10]. - Microsoft's early investment in OpenAI has been crucial for Azure's growth, integrating AI technology into its productivity tools [11]. - However, the relationship with OpenAI has become strained, with disputes over investment terms and access to intellectual property [13][14]. - Microsoft is working on developing its own AI chips, but delays have been reported for its next-generation Maia AI chip [17]. Comparative Analysis - Amazon's vertically integrated cloud platform offers a wide range of services, including custom chips and high-margin services, giving it a cost advantage [16]. - Microsoft relies on expensive Nvidia chips and AI models from OpenAI, facing more uncertainties despite Azure's rapid growth [17].

Group 1: Market Overview - The S&P 500 is experiencing growth after a year of decline, currently up 5% year to date [1] Group 2: Nvidia - Nvidia is the leading AI chip producer, with a stock increase of 1,500% over the past five years, and it reported strong results for the 2026 fiscal fourth quarter [3][4] - The demand for data centers and agentic AI is rapidly increasing, positioning Nvidia for further growth [3][4] Group 3: MercadoLibre - MercadoLibre is a major e-commerce and fintech player in Latin America, with a 64% increase in revenue year over year, totaling $22 billion in trailing-12-month sales [5][6] - The company is expanding its marketplace and services, including applying for a bank charter in Mexico, which is expected to enhance customer engagement and growth [6] Group 4: Amazon - Amazon holds nearly 40% of the U.S. e-commerce market and is continuously innovating to maintain its competitive edge [7] - Amazon Web Services (AWS) is a leading cloud services provider with 30% market share, generating $100 billion in business, and is focusing on AI development [8][9] Group 5: Shopify - Shopify provides a wide range of e-commerce services, with offline revenue growing at 33% year over year, outpacing total company growth of 27% [10][11] - The company is expanding its market share by targeting medium-sized and enterprise businesses and launching features internationally [11] Group 6: Taiwan Semiconductor - Taiwan Semiconductor (TSMC) is a key foundry producing chips for major designers like Apple and Nvidia, with a 35% year-over-year sales increase [12][13] - AI accounts for 59% of TSMC's business, while smartphones represent 28%, showcasing its diversified customer base and growth potential [13]

Core Insights - Artificial intelligence (AI) investing is thriving in 2025, with record data center spending and major tech companies expanding their plans, indicating strong investment opportunities in the sector [1] Group 1: AI Infrastructure - Companies like Nvidia, Broadcom, and Taiwan Semiconductor Manufacturing (TSMC) are key players in AI infrastructure, benefiting from significant AI spending [4] - Nvidia's GPUs are central to the AI revolution, with no true competition, while Broadcom's custom AI accelerators (XPUs) can outperform GPUs under specific workloads [5][6] - TSMC is crucial for both Nvidia and Broadcom, providing advanced chip technology, which is expected to see a compound annual growth rate (CAGR) of 45% for AI-related chips over the next five years [7][8] Group 2: Cloud Computing - Major AI companies like Alphabet and Amazon are expanding data centers not only for internal use but also for rental to other businesses lacking resources for AI infrastructure [9] - Companies are increasingly renting computing power from cloud providers like Amazon Web Services (AWS) and Google Cloud, which is driving demand for GPUs from Nvidia [10] - The cloud computing market is projected to grow from $750 billion in 2024 to $2.4 trillion by 2030, presenting significant investment opportunities in companies like Amazon and Alphabet [11]

The potential for both of these tech giants still looks underappreciated by the market.Nvidia (NVDA 1.28%) has soared to the top of the list of most valuable companies in the world thanks to its best-in-class graphics processing units (GPUs). Nvidia's chips are essential for training large language models and using them in applications. As big tech companies race to build better and better AI capabilities, they've been buying up Nvidia's chips as fast as the company can provide them.As Nvidia approaches a $ ...