Microsoft Weighs Legal Action Against Amazon and OpenAI
Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily recap compiled by The Fly.LEGAL ACTION:Microsoftis weighing legal action against Amazonand OpenAI over a $50B deal that may breach its exclusive cloud partnership with OpenAI, Stephen Morris, George Hammond, and Madhumita Murgia of The Financial Times reports. The issue centers on whether Amazon Web Services can offer OpenAI's commercial product without violating an agreement that requires all access to the start-up's models to be routed through Microsoft's Azure.AI TOOLS:Amid Anthropic's spat with the U.S. Department of Defense recently over the use of AI in warfare, a top Googleexecutive has quietly met with Pentagon officials to present the tech giant as a defense partner, the New York Times' Kate Conger and Julian Barnes. On February 26, Google Cloud CEO Thomas Kurian met with Emil Michael, a DoD official overseeing the selection of AI tools for the Pentagon, the authors say. Google already had business with the department, and Kurian offered an expanded supply of AI tools without all the noise, the authors say, citing two people with knowledge of the meeting.COPILOT EXECUTIVE GROUP:Microsoftis reorganizing its Copilot executive group, with former Snapexecutive Jacob Andreou heading up the Copilot AI assistant experience for commercial and consumer clients, Microsoft CEO Satya Nadella said in a memo, CNBC's Jordan Novet. Mustafa Suleyman, head of the Microsoft AI group, will focus more on developing generative AI models. "The model is the product," Suleyman said in an interview.GROQ AI:Nvidiais preparing a version of its Groq AI chips to be sold to the Chinese market, Max Cherney, Stephen Nellis and Liam Mo of Reuters, citing two sources familiar with the matter. Nvidia licensed technology from Groq last year in a $17B deal and showed a new lineup of products around its chips at a conference this week.AI FACTORY:Coupangannounced at the Nvidia AI Conference & Expo that its collaboration with Nvidiahas helped Coupang create an "AI factory" which is accelerating new innovations across the company's e-commerce logistics and delivery services. The collaboration leverages the Coupang Intelligent Cloud system, launched in July 2025, and Nvidia DGX SuperPOD to create a self-service AI ecosystem that allows engineers and other data experts to test and build new models quickly across Coupang's global organization, including engineering teams in Seattle and Mountain View, California. Coupang is also supporting Nvidia as a launch partner for Dynamo, the open source software for agentic inference that delivers unmatched scale, efficiency and speed. "Coupang's business is centered on fulfilling our 'Rocket Delivery' promise to customers - providing them with an unprecedented combination of speed, selection and price," said Ashish Suryavanshi, Coupang's VP of Engineering, who spoke at the conference. "This promise requires constant evolution. By working with NVIDIA, Coupang's engineers can build upon the advanced AI models and machine learning already powering our operations and unlock new levels of innovation for our company and our customers."AI-DRIVEN IOT:AT&Tand Ciscoannounced a collaboration to advance the next phase of AI-driven IoT, which the companies say will combine "intelligent networking, edge AI compute, and zero-trust security to enable real-time decision-making across distributed, mission-critical environments with NvidiaAI infrastructure." The companies added that "at the center of the solution is AT&T's dedicated IoT core alongside Cisco's Mobility Services Platform, built to support localized traffic breakout, deterministic performance, and zero trust security for regulated and critical use cases. The Cisco AI Grid with Nvidia is designed to bring on-demand AI inference closer to where data is generated. Built for developers and enterprises deploying AI in real-world environments, it provides a highly secure, end-to-end pathway from edge devices across the AT&T network, and into Nvidia accelerated compute. This network-driven approach reduces complexity, improves performance, and provides the operational scale required to move edge AI from pilots into full production.AI GRID:HPEannounced its AI Grid, saying it is built on the Nvidiareference architecture to connect AI factories and distributed inference cluster. "The HPE AI Grid enables service providers to deploy and operate thousands of distributed inference sites, turning AI installations into a single intelligent system," the company said in a statement. It added, "The HPE AI Grid solution, part of Nvidia AI Computing by HPE portfolio, delivers predictable, ultra-low latency performance at scale for real-time AI services, zero-touch provisioning, and automated security with integrated orchestration."MANUS ACQUISITION:The Chinese government has begun to penalize people linked to Meta's$2B acquisition of Manus in a move meant to discourage Chinese AI executives from moving businesses offshore, Ana Swanson, Meaghan Tobin, Paul Mozur, and Eli Tan of The New York Times, citing two people with knowledge of the matter. The scope of the Chinese government's actions is not yet clear, but efforts include restricting Manus executives from departing China for Singapore, one source said.
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- Cloud Backlog Concerns: Microsoft has a staggering $625 billion cloud order backlog, with $281 billion attributed to OpenAI, which has reduced its computing capacity spending forecast, leading to decreased market confidence in the backlog and potential revenue growth.
- Upcoming Earnings Report: Microsoft is set to release its fiscal 2026 Q3 earnings on April 29, with investors eager for updates on AI products like Copilot and the Azure cloud platform to assess market performance and growth potential.
- Copilot Adoption Surge: As of December 31, Copilot licenses sold for enterprise 365 reached 15 million, representing a modest 3.7% penetration but showing a robust 160% year-over-year growth, indicating strong market demand and future growth potential.
- Valuation Appeal: With a current P/E ratio of 26.4, below its five-year average of 32.9, Microsoft stock appears undervalued, and if the earnings report alleviates backlog concerns, the stock could rebound significantly, offering substantial returns for investors.
- Surge in Capital Expenditure: In 2026, leading hyperscalers are expected to collectively invest approximately $600 to $650 billion, primarily directed towards AI infrastructure, which will enhance market share and profitability for these companies.
- Integration of Quantum Services: Companies like Microsoft, Alphabet, IBM, and Amazon are embedding quantum capabilities into their platforms, launching a 'quantum-as-a-service' model that accelerates enterprise experimentation and generates incremental revenue, showcasing their first-mover advantage in the quantum market.
- Technological Integration Advantage: Ecosystem leaders like NVIDIA are enhancing quantum system stability and error mitigation through AI-driven tools, indicating that quantum computing will scale as part of a broader AI stack, thereby boosting investor confidence.
- Microsoft's Market Outlook: Microsoft is projected to achieve a 25.4% earnings growth and a 16.3% revenue growth in 2026, with price targets from 46 analysts suggesting a 38.6% increase in stock price, reflecting positive market expectations for its AI-quantum integration strategy.
- Revenue Growth Outlook: ServiceNow anticipates Q1 2026 revenues of $3.75 billion, reflecting a 21.4% year-over-year increase, showcasing robust performance in the cloud platform sector despite intense competition.
- Earnings Improvement: The expected earnings per share of $0.95 indicates a 17.3% growth from the previous year, highlighting the company's success in customer retention and enterprise expansion, which is likely to drive future profitability.
- Expanding Customer Base: By the end of 2025, ServiceNow served over 8,800 global customers, with more than 85% being Fortune 500 companies, demonstrating widespread adoption of its cloud platform among large enterprises and enhancing its competitive edge.
- Increasing Market Challenges: Although the company expects subscription revenues between $3.65 billion and $3.67 billion for 2026, strong competition from AI solutions is projected to create a 150-basis-point headwind to revenue growth, indicating a complex market environment.

Expansion of Initiative: Microsoft is expanding its initiative to strengthen AI training and career pathways across skilled trades.
Focus on Skilled Trades: The initiative aims to enhance opportunities and resources for individuals pursuing careers in skilled trades through AI training.
- CEO Transition: Apple announced that Tim Cook will step down as CEO on September 1, with John Ternus taking over; Ternus, who has been with the company for 25 years, faces significant challenges in advancing the company's AI strategy.
- Strong iPhone Sales: In the latest quarter, Apple's iPhone revenue surged 23% year-over-year to $85.3 billion, primarily driven by robust sales of the iPhone 17 models, indicating strong consumer demand for new products.
- Lagging AI Strategy: Despite Apple's relatively conservative investment in AI, relying on Google's Gemini to enhance Siri features, the market's demand for AI-integrated hardware is growing, and Ternus must accelerate the application of AI technologies.
- Future Product Outlook: Apple plans to accelerate the development of three AI wearables centered around Siri, including smart glasses and AirPods with cameras, indicating potential innovation directions in the AI hardware space.
- CEO Transition and AI Challenges: Apple announced Tim Cook's departure on September 1, with John Ternus stepping in to address the company's AI strategy gap, as investors anticipate a clear plan to compete with rivals in the AI space.
- Strong iPhone Sales: Despite lagging in AI, Apple's latest quarter saw iPhone revenue surge 23% year-over-year to $85.3 billion, driven by strong demand for the iPhone 17, yet Ternus must ensure this growth translates into success in AI.
- AI Hardware Development Focus: Ternus's appointment may signal Apple's commitment to integrating AI with hardware, with potential upcoming products like smart glasses and a foldable phone to meet market demand for AI-enabled devices.
- Privacy vs. Personalization Dilemma: Ternus faces the challenge of balancing user privacy with the push for AI-driven personalization, as analysts highlight the need for Apple to find new growth avenues in a rapidly changing tech landscape, particularly with rising consumer interest in generative AI services.










