https://t.co/Rsm2ijLCtL [Palantir Q3 Earnings Snapshot] Revenue up 96% YoY; U.S. Commercial Segment Surpasses Government with 148% Growth. Deep Dive on Anthropic Losses, Intel Shock, Apple, Marvell Acquisition—all in 46 Minutes Kashiwara Jin | AI Marketing Strategy #AISummary Latest Earnings Trends in AI, Sovereign AI, Semiconductors, and Optical Communications 🔳 Palantir’s Revenue Grew 96% Year-over-Year Palantir’s revenue reached $2.313 billion, a 96% increase year-over-year. For the first time, U.S. commercial segment revenue surpassed government segment revenue, driven by enterprise adoption of AI. 🔳 U.S. Commercial Segment Surpasses Government Segment U.S. commercial segment revenue hit $984 million, up 148% YoY, while government segment revenue reached $953 million, up 96% YoY. The strategy of extending government-developed technologies to private enterprises is delivering results. 🔳 Sovereign AI Accelerates Palantir’s Growth Demand for “sovereign AI”—enabling enterprises to utilize AI securely without exposing proprietary data—is expanding. Palantir supports enterprise data management and AI adoption through AIP and ontologies. 🔳 Enterprise Data Matters More Than AI Models CEO Alex Karp predicted the commoditization of large language models, arguing that competitiveness stems from combining low-cost open models with proprietary enterprise data, rather than relying on expensive proprietary AI models. 🔳 Strengthening Manufacturing Sector Expansion Through NVIDIA Partnership Palantir is collaborating with NVIDIA to enhance visibility and optimization of complex supply chains. By integrating the open model “Nemotron” with ontologies, it aims to streamline processes from manufacturing to AI processing. 🔳 Palantir’s Profitability and Customer Lifetime Value Improve Palantir’s Rule of 40 (combined growth and profit margin) reached 158%. Adjusted operating margin hit 62%, and net dollar retention stood at approximately 163–165%, driven by expansion of business with existing customers. 🔳 Concerns Over Large Contracts and Backlog Customer count increased to 1,090, but the number of large contracts declined. Remaining performance obligations (RPO) fell slightly from $4.9 billion to $4.88 billion, raising attention to future contract trends. 🔳 Palantir Raises Full-Year Revenue Guidance Raised full-year revenue guidance to $8.53–8.534 billion, projecting 91% YoY growth. Anticipates 143% growth in the U.S. commercial segment, reflecting continued expansion of private-sector AI demand. 🔳 Anthropic’s Revenue Grew Approximately 12x Year-over-Year Anthropic’s revenue for July–September reached $16.956 billion, up roughly 12x YoY. However, operating loss amounted to $567 million due to massive expenditures on AI compute resources. 🔳 Anthropic Expands Compute Resource Orders to Google Anthropic disclosed that its payments to Google for compute resources have surged to approximately ¥18.7 trillion. Its reliance on Google’s TPU and cloud infrastructure is intensifying. 🔳 Recovering Capital Investment in AI Infrastructure Is a Critical Challenge Companies like Google and Amazon continue heavy investments in AI infrastructure. Google’s capital expenditures reached $51.4 billion, resulting in negative free cash flow. The key question remains: when will these investments break even amid rising AI demand? 🔳 Google Search Growth Slows Amid AI Monetization Challenges While Google Cloud maintains high growth, search revenue growth slowed to 12%. AI-generated responses are impacting ad monetization efficiency—balancing increased search usage with ad revenue remains a challenge. 🔳 Intel and Qualcomm Face Memory Supply Constraints Surging memory demand for AI data centers has caused shortages and price increases for PC and smartphone components. Intel missed market expectations for revenue guidance, while Qualcomm faces slowing smartphone-related business growth. 🔳 Apple Maintains Growth Despite Supply Constraints Apple’s revenue rose 12% YoY to $114.477 billion. It mitigated the impact of rising memory prices through inventory management and lower costs for other components—all while avoiding large-scale AI infrastructure investments. 🔳 Marvell Announces Acquisition of Lumentum The video highlights Marvell’s announcement to acquire optical communications company Lumentum—a strategic move to integrate semiconductor and optical technologies to capture growing high-speed communication demands in AI data centers. 🔳 Accelerated Shift Toward Optical Communications in AI Data Centers Traditional copper wiring faces challenges in speed, heat dissipation, and power consumption. Optical communications is expanding beyond long-distance links to intra-rack and even intra-semiconductor-package applications, becoming a critical technology for AI infrastructure. 🔳 Optical Communications Market Projected to Reach $90 Billion by 2030 The video cites projections that the AI-driven optical communications market will exceed $90 billion by 2030, growing at an annual rate of ~40%. Marvell and Lumentum aim to expand market share through convergence of semiconductor and optical technologies. 🔳 Growing Demand for Optical Communications in Quantum ComputingOptical connectivity technology is seen as crucial not only for AI data centers but also for quantum computers and quantum networks. In addition to quantum-related companies such as IonQ, optical communication businesses from Coherent and Corning are also drawing attention. 🔳 Three key themes to watch in the future AI market Throughout the video, the key themes highlighted were sovereign AI for securing enterprise data, profitability amid massive AI infrastructure investments, and the advancement of supply chains including semiconductors and optical communications. It was emphasized that in the future, corporate competitiveness will be determined not only by AI performance but also by deployment costs, return on investment, and supply capacity.