Summary of Arm Conference Call - March 24, 2026 Company Overview - **Company**: Arm (NasdaqGS:ARM) - **Keynote Speaker**: Ami Badani, Chief Marketing Officer - **Focus**: Discussion on product strategies across three business units: Edge AI, Physical AI, and Cloud AI Key Points by Business Unit Edge AI Business Unit - **Speaker**: Chris Bergey, Executive Vice President, Edge AI - **Growth Projection**: Anticipated 40% increase in Total Addressable Market (TAM) over the next five years due to AI workloads being integrated into various devices [6] - **Market Drivers**: - Mobile devices remain a significant driver for growth, with expectations for increased silicon content due to agentic services [9] - Intelligent edge devices are seeing AI integration, enhancing user experience [11] - **Performance Optimization**: Introduction of CSS (Compute Subsystem) to optimize performance from transistor to software stack, leading to improved market competitiveness for partners [13][14] - **Mobile Royalties**: 25% of mobile royalties are now derived from CSS, indicating a successful transition to this model [15] - **Emerging Segments**: Growth opportunities identified in XR platforms and personal AI computing, with significant demand for advanced computing capabilities [16][18] Physical AI Business Unit - **Speaker**: Drew Henry, Executive Vice President, Physical AI - **Market Size**: Current TAM for Physical AI is approximately $25 billion, projected to grow to $50 billion, with potential for a hockey stick growth to $200 billion by 2031 [35][57] - **Key Applications**: - Focus on automotive platforms transitioning to autonomous systems, with increasing compute content driving market growth [36] - Robotics and humanoid platforms are expected to be significant contributors to future growth [38] - **Technological Advancements**: Emphasis on reducing latency in AI applications, particularly in autonomous vehicles and robotics [34] - **Vertical Integration**: Shift from providing individual IP components to curated designs that enable faster market entry for partners [41][43] Cloud AI Business Unit - **Speaker**: Mohamed Awad, Executive Vice President, Cloud AI - **Market Opportunity**: Data center CPU market projected to exceed $100 billion by fiscal year 2031 [64] - **Engagement Strategy**: - Collaboration with hyperscalers (e.g., AWS, Google) and enterprise customers to provide integrated solutions [66][67] - Introduction of AGI CPU to enhance performance across various segments [69] - **CSS Impact**: CSS has significantly reduced barriers to entry for customers, saving substantial engineering time and accelerating time to market [72] Additional Insights - **AI Software Development**: Introduction of KleidiAI, a library that simplifies AI workload integration on Arm CPUs, enhancing developer experience [24] - **V9 Architecture**: V9 is positioned as the most secure and advanced AI CPU architecture, with a penetration rate expected to rise from 50% to 85% in two years [23] - **GPU Leadership**: Arm is the highest volume GPU shipper globally, with over 12 billion chips shipped, indicating strong market presence [21] Conclusion - Arm is strategically positioned for significant growth across its business units, driven by advancements in AI, cloud computing, and vertical integration strategies. The company is focusing on optimizing performance and reducing barriers for partners, which is expected to yield substantial market opportunities in the coming years.

Core Viewpoint - Arm has launched the Arm AGI CPU, a new production chip designed to power the next generation of AI infrastructure, marking its first self-developed chip product in over 35 years [1] Group 1: Product Features and Innovations - The Arm AGI CPU is built on the Arm Neoverse platform and aims to provide extensive deployment options for customers, reflecting the rapid development of AI infrastructure and the growing demand for scalable Arm platforms [1] - The CPU is designed to handle complex workloads in modern AI data centers, managing thousands of distributed tasks and coordinating between multiple AI agents [2] - Each element of the Arm AGI CPU, from frequency to memory and I/O architecture, is meticulously designed for high-performance, large-scale parallel processing in dense rack deployments [3] Group 2: Performance and Efficiency - Arm's reference server configuration features a 1OU dual-node design with 272 cores per blade server, capable of delivering over 45,000 cores in a 200kW liquid-cooled design, outperforming the latest x86 systems by over 2 times in performance [5] - The high-performance, efficient single-threaded Arm Neoverse V3 CPU core outperforms traditional architectures, allowing for significant performance improvements per rack [6] Group 3: Partnerships and Market Adoption - Meta is a key partner in developing the Arm AGI CPU, optimizing it for its applications, alongside other partners like OpenAI and SAP, who are deploying the CPU to enhance AI-driven services [7] - Arm has introduced the Arm AGI CPU 1OU dual-node reference server, compliant with OCP DC-MHS standards, to accelerate the adoption of its architecture [7] Group 4: Future Outlook - The launch of the Arm AGI CPU marks a new chapter in Arm's data center evolution, with ongoing development of future products aimed at achieving top-tier performance, scalability, and efficiency [8] - Arm's mission remains to provide computing foundations that empower innovation across various industries, supported by over 50 leading companies in the ecosystem [8]

Core Financial Performance - Arm achieved record performance in Q2 of FY2026, with revenue reaching $1.14 billion, a 34% year-over-year increase, marking the third consecutive quarter exceeding $1 billion [1] - Royalty revenue was $620 million, up 21% year-over-year, driven by growth across data centers, smartphones, automotive, and IoT markets [1] - Licensing revenue reached $515 million, a significant increase of 56% year-over-year, primarily due to accelerated customer adoption of next-generation AI chip architectures [1] Management Insights and Strategic Direction - CEO Rene Haas emphasized that AI is expanding from cloud to edge and endpoint devices, with Arm's architecture leading the industry in energy efficiency by approximately 50%, making it the preferred platform for major cloud and supercomputing vendors [6] - Arm announced a strategic partnership with Meta to enhance AI computing efficiency and consistency across devices, leveraging both companies' strengths [7] - The new Lumex Compute Subsystem (CSS) was introduced for mobile AI experiences, with early revenue generation due to prior collaborations shortening production cycles [8][9] Market Penetration and Product Strategy - Arm added three new CSS licenses this quarter, bringing the total to 19 licenses across 11 companies, with major Android manufacturers adopting the CSS architecture [11] - Arm's architecture is increasingly penetrating the smart automotive and edge device markets, with notable implementations in Google Pixel 10 and Tesla's new AI chip [12][14] - The company is accelerating R&D investments to explore complete computing subsystems and Chiplet or SoC-level products, indicating a shift towards system-level innovations [15] Q&A Highlights - Arm's platform is seen as a key player in the AI data center construction wave, with significant demand for energy-efficient solutions [15] - The acquisition of DreamBig Semiconductor is aimed at enhancing Arm's capabilities in high-bandwidth interconnects and data center networking [16] - Revenue from collaborations with SoftBank is expected to continue growing, with a notable increase in licensing and design service income [17] - The cloud and networking market's contribution to revenue is projected to rise from approximately 10% to 15-20% [21] Forward-Looking Statements - Q3 guidance indicates revenue of approximately $1.225 billion, with royalty growth of 20% and licensing growth of 25-30% [25] - The "AI Everywhere" strategy will continue to expand across cloud, edge, and endpoint devices, with a focus on R&D investments in subsystems and complete SoC products [26][27] - The strategic focus remains on leveraging AI-driven demand for computing power and energy constraints as significant opportunities for Arm [29]

Summary of Arm Holdings plc Conference Call Company Overview - **Company**: Arm Holdings plc (ARM.O) - **Industry**: Semiconductors - **Market Cap**: US$167.807 billion - **Current Stock Price**: US$163.33 - **Price Target**: Adjusted from US$194.00 to US$180.00 [1][9] Key Financial Metrics - **Q1 Sales**: US$1.05 billion, EPS of US$0.35, both in line with expectations [10] - **Q2 Guidance**: Sales range of US$1.01-1.11 billion, EPS guidance of US$0.29-0.37 [10] - **Opex**: Expected to increase to US$655 million in Q2, with a projected exit of US$700 million by year-end [8][10] - **R&D Spending**: Anticipated to rise by approximately 31% year-over-year for FY26 [8] Core Insights - **Investment Phase**: The company is in a heavy investment phase, which is impacting earnings but is seen as a necessary step for future growth [1][3] - **Diversification**: Arm is exploring opportunities beyond its traditional markets, including chiplets and full solutions [3][9] - **Licensing Growth**: Licensing revenue in Q1 was strong at US$468 million, with royalties increasing by 25% year-over-year to US$585 million [10] - **CSS Deals**: The company signed 16 CSS deals to date, indicating a shift towards next-generation designs and potentially higher royalty rates [10] Market Position and Future Outlook - **Market Dominance**: Arm holds over 60% of global semiconductor IP sales, particularly in smartphones [25] - **Growth Drivers**: Structural growth opportunities in edge AI, automotive, and potential chipmaking are expected to drive future revenue [25][30] - **Earnings Growth**: Projected earnings CAGR of approximately 33% from FY25 to FY28, with FY27 EPS estimate at US$2.68 [18][24] Risks and Challenges - **Geopolitical Risks**: Potential impacts from geopolitical issues and litigation could affect future growth [25][28] - **Market Competition**: Competition from emerging open-source ecosystems and established players poses a risk to market share [35] - **Revenue Uncertainty**: Uncertainty around revenues from Arm's China joint venture and smartphone royalties could impact overall performance [36] Conclusion - **Investment Rating**: The company maintains an Overweight rating, reflecting optimism about its long-term growth potential despite current challenges [9][18] - **Valuation**: The adjusted price target of US$180 is based on a PEG ratio of 2.0, reflecting a premium valuation justified by Arm's market position and growth prospects [18][24]

Investment Rating - The report does not explicitly state an investment rating for ARM, but it provides insights into the company's performance and future expectations, indicating a generally positive outlook based on growth drivers in AI and custom chip solutions. Core Insights - ARM's FY1Q26 revenue was $1.05 billion, slightly below market consensus of $1.06 billion, with EPS at $0.35, in line with expectations. Royalty revenue increased by 25% YoY to $585 million, while License revenue decreased by 0.8% YoY to $468 million due to a strong base in FY1Q25 [1][6]. - The company is evolving towards full-end solutions to address increasing chip complexity and extended development cycles, with strong demand for Compute Subsystem (CSS) solutions, which have licensing fees twice that of Armv9 [2][7]. - ARM's custom chips are driving significant growth in cloud-based AI, with over 70,000 enterprises running AI workloads on Arm Neoverse chips, representing a 40% YoY increase. The company expects to capture nearly 50% market share among leading hyperscale customers this year [3][8]. - For 2Q26, ARM expects revenue between $1.01 billion and $1.11 billion, with a midpoint representing a 25% YoY increase. Non-GAAP EPS is projected to be between $0.29 and $0.37, with a median of $0.33, slightly below market expectations [9]. Summary by Sections Financial Performance - FY1Q26 revenue: $1.05 billion, slightly below consensus of $1.06 billion - EPS: $0.35, in line with expectations - Royalty revenue: $585 million, up 25% YoY - License revenue: $468 million, down 0.8% YoY [1][6] Business Strategy - ARM is transitioning to full-end solutions to tackle chip complexity and development cycles - Demand for CSS exceeds expectations, with licensing fees significantly higher than previous models - ARM supports chiplet development and aims to expand into complete solutions [2][7] AI and Market Outlook - Over 70,000 enterprises using Arm Neoverse chips for AI workloads, a 40% YoY increase - Expected market share among hyperscale customers to approach 50% - ARM's platform combines AI performance with energy efficiency, enhancing TCO [3][8] Future Guidance - 2Q26 revenue guidance: $1.01 billion to $1.11 billion, midpoint indicating 25% YoY growth - Non-GAAP EPS guidance: $0.29 to $0.37, median of $0.33, below market consensus [9]

Core Viewpoint - ARM has announced a significant strategic adjustment by abandoning the long-standing Cortex brand and restructuring its product line with a new naming system, reflecting its deep insight into future market competition and concerns about the emerging RISC-V architecture as a potential threat [1][3]. Group 1: Brand and Product Line Changes - ARM's Cortex brand, known for its high recognition in the semiconductor industry, will be replaced by a new, simplified naming system to better meet the needs of different market segments and enhance competitiveness in the global chip market [1][2]. - The new product naming system categorizes Compute Subsystems (CSS) based on application areas, including Arm Neoverse for infrastructure, Arm Niva for PC, Arm Lumex for mobile, Arm Zena for automotive, and Arm Orbis for IoT, while retaining the Mali brand for GPUs [2]. Group 2: Concerns about RISC-V - ARM has issued a clear warning regarding the RISC-V architecture, which has gained attention due to its open-source nature, potentially leading customers to choose it over ARM products if its ecosystem continues to grow [3][4]. - Despite RISC-V's current limitations in advanced design support compared to ARM, its development poses a potential threat, especially as ARM raises licensing prices, making RISC-V a more cost-effective alternative for some manufacturers [4]. Group 3: Market Implications - ARM's decision to abandon the Cortex brand and restructure its product line is a crucial response to market changes and competitive challenges, aiming to enhance market adaptability and service precision [4]. - The evolving competitive landscape in the global chip design market may undergo profound changes as ARM implements its new strategy and RISC-V continues to develop [4].

Core Viewpoint - Arm is transitioning from a component IP supplier to a platform-focused company, emphasizing its capabilities in AI and energy-efficient chip design to capture market opportunities in the growing AI sector [1][4][5]. Group 1: Company Strategy and Product Development - Arm's new product naming strategy reflects its shift towards complete computing platforms, which facilitate faster integration and scalability for AI chip development [4][5]. - The company aims to address the increasing complexity and power demands of AI workloads by providing integrated, validated systems that enhance performance per watt and enable scalable innovation [4][5]. - Arm has introduced specific platforms for key markets, including Arm Neoverse for infrastructure, Arm Niva for PCs, and Arm Lumex for mobile devices, along with maintaining the Mali brand for GPUs [4][5][9]. Group 2: Financial Performance - In the fourth quarter of fiscal year 2025, Arm reported a record revenue of $1.24 billion, a 34% year-over-year increase, driven by record licensing revenue of $634 million (up 53%) and royalty revenue of $607 million (up 18%) [7]. - The growth in royalty revenue is attributed to the increasing deployment of the Armv9 architecture and the adoption of Arm's computing subsystems in smartphones, cloud infrastructure, and edge AI [7]. Group 3: Market Opportunities - Arm views the automotive sector as a major growth area, having signed its first automotive computing subsystem agreement with a leading electric vehicle manufacturer [7][8]. - The company is also expanding its influence in data center computing, with cloud providers like AWS, Google Cloud, and Microsoft Azure increasingly utilizing Arm-based chips for AI workloads [8]. Group 4: Ecosystem and Developer Support - Arm is enhancing its hardware platforms with expanded software tools and ecosystem support, including free access to GitHub Copilot for developers to optimize code for Arm architecture [8]. - Over 22 million developers are currently working on Arm, with the Kleidi AI software layer installed over 8 billion times on devices, indicating a robust developer engagement [8]. Group 5: Implications for AI and Data Management - The strategic repositioning of Arm is expected to reshape how technology decision-makers handle AI, data, and security, providing clearer pathways for selecting optimized computing architectures for AI workloads [11][12]. - The introduction of predefined computing systems like Neoverse and Lumex can streamline the evaluation process for engineers managing large language models and AI pipelines, enhancing efficiency and reducing overhead [11][12].