NEW YORK, Jan. 20, 2026 (GLOBE NEWSWIRE) -- Pomerantz LLP announces that a class action lawsuit has been filed against CoreWeave, Inc. (“CoreWeave” or the “Company”) (NASDAQ: CRWV) and certain officers.   The class action, filed in the United States District Court for the Western District of Texas, and docketed under 26-cv-00355, is on behalf of a class consisting of all persons and entities other than Defendants that purchased or otherwise acquired CoreWeave securities between March 28, 2025 and December 1 ...

Key Points About 97% of Wall Street analysts rate Microsoft stock as a buy, the highest percentage among S&P 500 stocks. One of the major growth catalysts for Microsoft is its AI cloud computing business, which is gaining market share. Microsoft is also investing heavily in AI data centers, looking to double its footprint. 10 stocks we like better than Microsoft › Among S&P 500 stocks, there are few, if any, that are considered a buy by 100% of the Wall Street analysts who cover them. In fact, y ...

Core Insights - The article emphasizes the significant impact of AI on global economic growth and stock market performance, particularly in the U.S. and China, highlighting the importance of AI investments in driving GDP growth and stock returns [1][11]. Economic Contribution - U.S. technology hardware and software investments are projected to contribute 0.8 percentage points to the annualized GDP growth of 2.5% in the first three quarters of 2025 [2]. - Since 2023, U.S. non-farm business sector labor productivity has increased by 7.2% [4]. Stock Market Performance - Since the launch of ChatGPT at the end of 2022, the "Magnificent Seven" stocks in the U.S. contributed 45 percentage points to the S&P 500 index returns, accounting for over half of the total returns [1]. - In Hong Kong, seven leading tech stocks contributed 14 percentage points to the Hang Seng Index returns, representing 40% of the total returns since the launch of DeepSeek in early 2025 [7]. AI Industry Dynamics - The U.S. has a first-mover advantage in AI infrastructure, models, and talent, while China is rapidly catching up, particularly in open-source models [16][19]. - The global cloud computing market is expected to reach $692.9 billion in 2024, with North America holding a 54.3% market share and China at 16.8% [20]. Investment Landscape - U.S. nominal investment in AI technology hardware and software is approximately $1.05 trillion, accounting for 3.4% of nominal GDP, while China's investment is around $650 billion, also about 3.3% of nominal GDP [42]. - The AI investment landscape shows that the U.S. is primarily driven by private sector investments, while China's investments are significantly supported by government funding [52]. Funding Sources - U.S. AI investments are predominantly led by the private sector, with a total investment of $552 billion, compared to China's $900 billion, which includes substantial government support [52]. - The Chinese government has invested approximately $750 billion in AI, significantly higher than the U.S. government's $110 billion [57]. Investment Focus - U.S. investments are heavily focused on data centers and supporting infrastructure, while China is investing more in chip development and AI models [58]. - In 2025, U.S. leading companies are expected to invest $4 billion in the foundational layer, with 88% directed towards infrastructure [59]. Talent and Research - The number of AI researchers in China has grown significantly, with Chinese researchers holding three times as many AI patents as their U.S. counterparts [41]. - The rapid increase in AI talent in China is enhancing its research capabilities, narrowing the gap with the U.S. [41]. Future Outlook - The article suggests that the U.S. will continue to invest heavily in data centers and energy equipment, which will drive demand for related supply chains in China [88]. - China's ongoing need for chips and AI infrastructure indicates a sustained demand and policy support in the semiconductor sector [88].

Core Insights - DigitalOcean has appointed Vinay Kumar as Chief Product and Technology Officer (CPTO) to lead product strategy, development, cloud infrastructure, and security as the company scales its AI inference cloud and core offerings [1][5] Group 1: Leadership and Experience - Vinay Kumar brings over a decade of senior leadership experience in building and scaling large-scale cloud platforms, having been a founding member of Oracle Cloud Infrastructure (OCI) [2] - His previous roles include significant positions at Amazon Web Services, Akamai, and Dell, providing him with extensive exposure to cloud infrastructure and enterprise-grade platforms [3] Group 2: Strategic Focus - As CPTO, Vinay will focus on advancing DigitalOcean's platform strategy, accelerating product delivery, and ensuring security and operational excellence [5] - The company aims to enhance its AI capabilities to support scalable, production-grade inference while maintaining operational discipline and reliability [4] Group 3: Market Position and Customer Base - DigitalOcean has established a strong position as a cloud and AI platform, gaining traction with digital-native and AI-native enterprises [4] - The platform is designed to help over 640,000 customers build, run, and scale intelligent applications with speed and simplicity [6]

Core Viewpoint - A class action lawsuit has been filed against CoreWeave, Inc. and its senior executives for securities fraud following significant stock drops attributed to potential violations of federal securities laws [1][3]. Company Overview - CoreWeave is an AI-focused cloud computing company that operates data centers providing high-performance GPU infrastructure, relying on partners like Core Scientific for development [4]. Allegations of Securities Fraud - The lawsuit claims that CoreWeave misrepresented its ability to meet customer demand and concealed construction delays at its data centers, despite assurances of being able to capitalize on unprecedented demand [5]. Stock Performance and Impact - On October 30, 2025, CoreWeave's stock dropped by $8.87 (over 6%) after Core Scientific failed to secure enough shareholder votes for a merger, leading to the termination of the agreement [6]. - Following a revenue guidance cut on November 10, 2025, due to delays from a third-party developer, the stock fell by $17.22 (over 16%) [7]. - A report on December 15, 2025, regarding further delays in a major data center project led to an additional drop of $2.85 (over 3%) in stock price [8].

Core Viewpoint - PPIO is strategically betting on underappreciated directions in the tech landscape, transitioning from edge cloud services to GPU inference platforms and now to Agent sandboxes, showcasing its adaptability and foresight in a rapidly evolving market [2][6]. Group 1: Company Background and Growth - PPIO was founded in 2018 amidst fierce competition in the edge computing and CDN market, with a vision to integrate idle computing resources into a distributed platform [3]. - The company initially struggled to find a balance between supply and demand until the pandemic-induced surge in online traffic helped it establish a growth trajectory [4]. - By 2024, PPIO's revenue is projected to reach 558 million, reflecting exponential growth in a short period [4]. Group 2: Technological Development and Market Position - PPIO has developed a unique Agent sandbox, which provides a secure environment for AI agents to operate, preventing unauthorized access to external resources [4][19]. - The company has focused on building a comprehensive AI cloud service capability, moving from edge cloud to GPU inference and now to PaaS solutions [6][11]. - PPIO's strategy emphasizes creating technology for unseen demands, positioning itself ahead of industry trends [12][14]. Group 3: Market Strategy and Differentiation - PPIO aims to avoid competing in the saturated GPU trading market, instead opting for a model that integrates idle distributed computing resources into cloud services [15][17]. - The company has identified a significant opportunity in the AI developer market, which is expected to grow rapidly, with new applications consuming resources at a much higher rate than traditional internet giants [25]. - PPIO's approach to open-source and non-binding API capabilities caters to the evolving needs of AI developers, contrasting with traditional cloud service models that often lock users into proprietary systems [22][24]. Group 4: Future Outlook and Challenges - PPIO is currently preparing for an IPO in Hong Kong, indicating confidence in its growth trajectory and market position [6]. - The company recognizes that the primary challenge lies in demand-side growth, particularly in latency-sensitive applications [32]. - PPIO's unique distributed cloud model, built on fragmented and heterogeneous infrastructure, sets it apart from traditional cloud providers that rely on centralized data centers [27].

U.S. stock futures fell on Tuesday following Friday’s declines. Futures of major benchmark indices were lower.The stocks extended the negative momentum seen during the holiday break as President Donald Trump's threat to impose escalating tariffs on Europe over the Greenland dispute continued to roil global markets.Meanwhile, the 10-year Treasury bond yielded 4.28%, and the two-year bond was at 3.57%. The CME Group's FedWatch tool‘s projections show markets pricing a 95% likelihood of the Federal Reserve lea ...

Cloud Computing - Amazon Web Services (AWS) has launched new foundational models and services, including Bedrock for generative AI application development, AI agents for coding, security, and incident monitoring, and a business intelligence platform called Quick Suite that utilizes generative AI for data analysis and workflow automation [1] E-commerce - Amazon has developed hundreds of generative AI applications aimed at improving operational efficiency, automating customer service, optimizing demand forecasting, enhancing inventory placement, and expediting last-mile delivery. Additionally, an AI model named DeepFleet has been created to assist robots in navigating warehouses more efficiently [2] Business Segments - Amazon maintains a strong presence in e-commerce, digital advertising, and cloud computing, leveraging its competitive advantages to integrate AI products across these segments, which is expected to drive revenue growth and enhance profit margins [3] Financial Performance and Valuation - Wall Street analysts project Amazon's earnings to grow at an annual rate of 19% over the next three years, making the current valuation of 34 times earnings appear reasonable. The median forecast for Amazon's stock price is $300 per share, indicating a potential upside of 25% from its current price of $239 per share [7][8] Hedge Fund Activity - Hedge fund managers Philippe Laffont and Steven Schonfeld sold significant portions of their Amazon shares, reducing their positions by 14% and 72% respectively, while simultaneously increasing their stakes in the iShares Bitcoin Trust [5][6][7]

Group 1: Commodity Market - Gold prices have surged to a historic high of $4,700 per ounce, driven by a flight to safety amid global uncertainties, with a notable increase of more than 1% on Monday following new tariffs announced by President Trump [3][7]. Group 2: Telecommunications Sector - CK Hutchison is reportedly in discussions to divest its Irish mobile operations to Liberty Global, which could lead to significant consolidation in the Irish telecommunications market [4][7]. Group 3: Technology Sector - ByteDance is intensifying competition with Alibaba in the AI cloud market, with its Volcano Engine holding a 14.8% market share compared to Alibaba Cloud's 35.8%, indicating a growing battle for dominance in this sector [5][7]. - Analyst firms have adjusted price targets for major tech companies, with TD Cowen lowering Microsoft's target from $655 to $625 and Baird increasing Alphabet's target from $310 to $350, reflecting changing expectations for these firms [7][8]. Group 4: Political and Economic Developments - Former President Trump announced a substantial 200% tariff on French wine and champagne, which may escalate trade tensions, and highlighted the importance of Greenland in upcoming discussions at the Davos summit [6][7].

Core Insights - Alibaba Cloud's PolarDB has launched a series of new product capabilities at the 2026 PolarDB Developer Conference, including AI Data Lake Database (Lakebase), model operator services, and managed capabilities for Agent application development [1] Group 1: Product Launch - The new capabilities introduced by PolarDB include multi-modal AI data lake databases, efficient integrated search capabilities, model operator services, and backend services for Agent application development [1] - PolarDB has clarified its four core pillars of "AI-ready database" [1] Group 2: User and Deployment Metrics - The user base of Alibaba Cloud's PolarDB has exceeded 20,000, with a deployment scale of over 3 million cores [1] - The service covers 86 available zones globally [1]