The presentation outlines Qualcomm's strategic initiatives and future opportunities in data centers, automotive, industrial AI, and robotics, emphasizing the company's move up the value chain and the acquisition of modular for software advancements. A packed agenda includes discussions on differentiation in the data center, full-stack solutions, and the role of agents in driving new edge opportunities.

A CEO reflects on five years at Qualcomm, highlighting strategic transformations and new projects, inviting stakeholders to celebrate with drinks and updates on financial outlook and upcoming experiences.

Outlines Qualcomm's strategy to expand into data centers, become a full stack AI player, and innovate in mobile edge devices, emphasizing technology leadership and market adaptability.

Highlights Qualcomm's broad technology portfolio, strategic industry relationships, and advanced manufacturing capabilities, emphasizing its readiness to lead in emerging markets like data centers with a comprehensive software ecosystem and AI integration.

The dialogue emphasizes the necessity of a paradigm shift in data center infrastructure to accommodate the escalating demands of agentic AI, introducing Qualcomm Dragonfly as a cost-efficient, scalable solution designed to lead the industry into the future of AI, ensuring performance meets efficiency in the era of swarming queries and interactions.

Discusses the need for a new compute infrastructure to handle the increased demands of AI agents, highlighting a disaggregated compute solution with specialized CPUs and XPUs, copper and optical interconnects, designed to lead the industry in efficiency and performance.

The speaker highlights Qualcomm's pioneering role in wireless, mobile, automotive, and PC technologies, now expanding into data center innovation, emphasizing the company's commitment to solving new challenges and driving industry leadership.

The dialogue highlights significant advancements in technology, including the qualification of a leading hyperscaler for revenue generation, the development of custom silicon, and the upcoming launch of a third-generation AI accelerator. It also previews the introduction of the industry's first Orion Server class compute solution, marking a pivotal shift in Qualcomm's infrastructure offerings.

A groundbreaking architecture separates AI accelerators from XPUs, placing them under DRAM stacks for enhanced performance and lower power consumption. This innovation, known as HBC, outperforms SRAM and HBM solutions, offering unmatched capacity, bandwidth, and energy efficiency across various workloads, positioning it as a superior choice for industry leaders like Microsoft in Azure Data Centers.

A discussion on partnering with Qualcomm for AI advancements, including PC reinvention, Project Solara for Agent-first devices, and innovations in data center high bandwidth compute, emphasizing future collaboration in next-gen computing.

The dialogue highlights the strategic deployment of HBC to target a $680 billion market, offering 4 to 8x performance benefits. It outlines the launch of AI 250 in 2027, introducing near memory compute, followed by AI 300 in 2028, which integrates Ual and Es on advanced network fabrics, connecting AI clusters with copper and optical networks.

A hardware designer highlights the importance of software in AI, emphasizing open frameworks for model development and deployment. Announces Qualcomm's acquisition of Modular, a leader in AI software, to jointly transform the AI industry with open, hybrid compute solutions.

Modular, a leader in AI infrastructure, is joining Qualcomm to enhance AI compute platforms. Modular's software layer enables AI models to run on any hardware, promoting lower costs, higher performance, and greater portability. The collaboration aims to scale technology for data center customers, fostering hardware independence and innovation.

Qualcomm introduces its C1000 data center processors, boasting industry-leading speeds, AI acceleration, and server-class security, poised to transform the $200B data center market. Meta showcases plans to integrate these CPUs into its next-gen data centers, leveraging their high throughput and AI capabilities.

Meta and Qualcomm deepen their collaboration, with Qualcomm supplying CPUs for Meta's data centers to power next-generation servers, aiming to deliver personal superintelligence to billions, leveraging decades of efficiency expertise.

Qualcomm leverages its advanced IP portfolio, manufacturing expertise, and connectivity innovations to win major hyperscaler deals, offering unparalleled performance and efficiency in custom silicon and data center solutions.

Announces shift to AI-centric platforms for superior TCO, aligning with industry trends. Highlights four established product lines, a leading software stack, and anticipates multi-billion revenue in fiscal 27, marking significant growth. Expresses gratitude to a visionary industry leader for their pioneering partnership.

Qualcomm and Humane are pioneering the deployment of advanced AI infrastructure, emphasizing efficiency and performance per watt, dollar, and outcome. The focus shifts to physical AI, impacting automotive, industrial, and robotics sectors, with predictions of significant market growth and transformative changes, heralding a new era of automation and intelligence across devices, enterprises, and societies.

Qualcomm has established itself as a leader in automotive semiconductors, achieving significant growth and innovation. From introducing the first generation of automotive compute products a decade ago to currently powering over 500 million vehicles with Snapdragon technology, the company has rapidly evolved. With a focus on AI and full-stack solutions, Qualcomm aims to redefine industries like automotive, industrial, and robotics, targeting $6 billion in annual revenue by FY 26 and maintaining a $65 billion design win pipeline. The company's strategic diversification and partnerships with over 70 automakers and 100 tier suppliers underscore its comprehensive approach to shaping the future of vehicle compute and connectivity.

The dialogue highlights Snapdragon's innovative approach to automotive AI, featuring mixed criticality fabric for versatile vehicle domain processing, an open platform strategy with multiple stack partners, and advancements in AI ML applications for powertrain, drivetrain, and battery management. It also discusses the company's expansion into satellite connectivity and its vision for robotaxis and local AI compute, exemplified by acquisitions like e.m. Pulse and partnerships with major OEMs such as BMW and Stellantis.

The company has established itself as a leader in automotive technology, leveraging a robust AI stack, strategic collaborations, and safety-focused innovations. It's now extending its expertise to the industrial sector, re-architecting the operational technology plane for enhanced intelligence and efficiency.

Dragonwing has developed vertical-focused solutions over the past 18 months, targeting industrial, commercial mobility, and other segments with a focus on vision AI and edge intelligence. To enhance developer engagement, they acquired Arduino, Edge Impulse, and foundries, facilitating rapid prototyping and commercialization. Their strategy includes modular design and an extensive video AI stack for various applications, aiming to simplify product access and accelerate development cycles.

Qualcomm is transitioning to a developer-focused company, emphasizing AI and vertical market solutions, including retail, energy, and robotics, leveraging its expertise in safety, connectivity, and AI hardware.

The dialogue highlights the vast potential of embodied AI in robotics, spanning from inspection to consumer interaction, emphasizing a full stack strategy that integrates hardware, software, and systems expertise to drive market maturity and capture significant value.

The dialogue emphasizes the necessity of a hierarchical compute architecture for robots, integrating central and decentralized computing for reasoning, planning, and reflex actions. It highlights Qualcomm's approach to designing robotic systems from the brain to the fingertips, addressing the complexities of physical AI and the challenges of introducing robotics into homes.

The dialogue outlines the integration of three active systems—brain, body, and sensory—for real-time control and perception in robotics. It highlights the development of a comprehensive software stack, SDKs for sensor manipulation, and the creation of a simulation environment. Sample applications and an open ecosystem, including Arduino support, are being provided to facilitate robotic arm control, navigation, and follow-me functionalities.

Qualcomm introduces a comprehensive physical AI platform for robotics, featuring a simulation environment, data pyramid, and foundation models. The IQ 10, IQ 9, and IQ 8 silicon solutions power diverse robotic embodiments, integrating with partners like Nora. With a scalable approach from automotive and IoT successes, Qualcomm leads in every domain entered, now shipping robotics solutions and engaging over 100 companies.

A platform enabling robots to develop cognitive abilities through sensory experiences, akin to human learning, is introduced. This initiative aims to set new standards in physical AI by facilitating global contributions to robot training, enhancing their ability to perform complex physical tasks.

The presentation discusses how mobile devices are evolving, with agents at the center and new sensing technologies enabling personalized devices. It highlights the shift towards agentic experiences, the importance of wearable devices like glasses, and the growing demand for compute due to AI advancements, emphasizing partnerships with companies like Amazon to create seamless AI experiences.

The dialogue explores the evolution of AI architecture, emphasizing the integration of cloud and edge computing for enhanced efficiency and capability. It discusses the benefits of hybrid AI, which combines local and cloud-based models to achieve optimal outcomes. The conversation also touches on the growing trend of inference being disaggregated and distributed, highlighting the role of edge devices in generating value. Partnerships with major tech companies, such as Google, are cited as evidence of this industry-wide shift towards more distributed computing models.

A shared vision between Google and Qualcomm aims to redefine digital agents through advanced AI, focusing on distributed intelligence, private, and personalized experiences across devices, from mobile to wearables and laptops, enhancing the Android ecosystem's proactivity and helpfulness.

The dialogue highlights the transformative role of 6G in enhancing connectivity for high-definition video streaming and AI-driven experiences, emphasizing the integration of computing, sensing, and sensing capabilities. It also introduces the development of a new AI platform, Heart, designed to deeply understand and interact with users, marking a significant step in personal intelligence technology.

The dialogue highlights Qualcomm's strategic shift towards a developer-centric approach, emphasizing AI integration and ecosystem development. It outlines the potential for transformative advancements in mobile and wearable tech, particularly smart glasses, and underscores the significance of the Modular acquisition in bolstering Qualcomm's capabilities across the compute continuum.

A seasoned software architect, having worked on pivotal technologies from compiler tech to AI platforms, joins forces with Qualcomm to advance AI compute. Emphasizing the shift from single-chip to distributed systems, they highlight the creation of a modular, scalable platform designed to unify diverse AI accelerators across the data center and edge. This initiative aims to simplify AI integration, offering end-to-end solutions that enhance usability and performance, while fostering innovation through an open developer platform.

The dialogue highlights Qualcomm's transition into a full-stack AI solution provider, emphasizing its commitment to open platforms. It announces strategic partnerships with Hugging Face and Modular, focusing on integrating AI models across Qualcomm's chipset family. The collaboration aims to simplify model deployment, optimize performance, and support open-source community growth, showcasing a future where AI is accessible, private, and affordable for all.

The presentation outlines Qualcomm's strategic focus on data center growth, automotive industrial robotics, AI at scale, and 6G infrastructure. It highlights the company's commitment to open, horizontal systems and predicts a significant shift towards AI computers, creating vast opportunities across the industry. Qualcomm aims to leverage its assets and expand its platform to capture these emerging markets.

Discusses Qualcomm's transformation from a connectivity company to a computing leader, expansion into various edge devices, and financial achievements over the past five years, including doubled revenue and tripled EPS, setting a foundation for future growth.

QCT has significantly outperformed Qualcomm, achieving double-digit CAGRs in all revenue streams, particularly in auto and Android handsets. The company revises its fiscal 29 revenue target from $22 billion to $40 billion, reflecting a 40% CAGR from 25 to 29. Key areas of focus include data center, automotive, and IoT, with a $1.7 trillion TAM addressable through diversification and new product launches.

A strategic plan to ramp up custom silicon, AI accelerator, and CPU revenues, targeting $5 billion by fiscal 27 with diversification across global hyperscaler customers, aiming for a significant portion of the $1 trillion data center market opportunity.

The dialogue outlines ambitious revenue goals for fiscal year 29, emphasizing a diverse product portfolio and customer base. It highlights a long-term vision for the data center market, aiming for over 5% market share in 5-7 years. In the automotive sector, Snapdragon's growth is attributed to increased content and technological advancements, with a $65 billion design win pipeline showcasing global diversification and strong market penetration.

The dialogue forecasts significant revenue growth, aiming for $10 billion in fiscal 29, driven by advancements in automotive silicon and IoT sectors. It highlights the company's leadership in automotive silicon, with a focus on AI workflows and autonomy. In IoT, the emphasis is on personal AI devices and industrial applications, with a projected $14 billion market by 2025, fueled by digital transformation and AI integration in PCs and other devices.

The dialogue outlines advancements in AI through partnerships with Google and Snapdragon, forecasts $40 billion in non-handset revenue, including $15 billion from data centers, and a shift towards diversification with handsets expected to contribute less than half of total revenue by 2027. The strategy includes ongoing M&A for growth acceleration, returning $40 billion to shareholders over the past decade, and increasing dividends, reflecting a commitment to technology leadership and capital returns.

The company has effectively managed its balance sheet, maintaining financial and strategic flexibility. Over the last five years, revenue grew by 15% while operating expenses (Opex) increased by only 6%, reducing Opex as a percent of revenue from 31% to 23%. The goal is to further decrease this ratio to 19%-20%, demonstrating successful investment in diversification and achieving operational leverage. The company is confident in its position to sustain growth beyond current projections.

Outlines long-term growth strategies focusing on robotics, industrial upgrades, personal AI, and diversified revenue beyond 2029, aiming for $100 billion in revenue, $40 billion in non-handset QCT sales, and EPS over $18 by 2029.

The speaker thanks the audience for their presence and attention, expressing excitement about upcoming events, and invites key individuals back on stage for a Q&A session, appreciating the audience's continued support.

Discussion centers on the potential to buy more shares, focusing on the significant financial performance and interest in data center growth, estimating over 50% expansion over time.

Discusses alignment of product launches with revenue growth, emphasizing fiscal 27-29 projections, supply chain visibility, and capacity commitments for leading node wafers, highlighting a trajectory shift from fiscal 30 onwards.

The dialogue revolves around a request to delve deeper into the CPU commentary and associated statistics presented, highlighting a need for more detailed information.

Discusses how to evaluate competitive performance statistics, focusing on the impact of time expansion over recent months and strategies for comparison with peers.

Discusses Qualcomm's innovative CPU design optimized for high performance and AI inference, emphasizing the company's transition into data center ecosystems with a focus on software maturity and open standards integration.

Discusses Modular's role in abstracting hardware for AI developers, emphasizing the shift towards heterogeneous compute and edge deployment. Highlights challenges with Nvidia dominance, benefits of open platforms, and anticipation of diverse hardware in future AI workloads.

The dialogue outlines revenue projections for fiscal 27 and 29, emphasizing custom silicon from major hyperscalers, AI accelerator contributions towards year-end, and connectivity products from Alpha Wave. It highlights customer diversity, forecasting confidence, and the shift from megawatt to gigawatt discussions in data center infrastructure.

Discussion revolves around Brazil's football team performance and future prospects, transitioning to challenges and strategies in handling increased complexity of chipset production, anticipating doubling in scale by 2029.

The dialogue highlights the significance of maintaining a high-quality reputation in the industry, exemplified by the company's ability to deliver low defect densities, rapid ramp-up of new chip IP, and consistent recognition from major clients like Apple. It underscores the strategic importance of reliability and capacity, particularly in high-demand sectors such as data centers and automotive, where stringent standards are met. The acquisition of Alpha Wave is noted to have accelerated customer engagement, leveraging Qualcomm's expanded resources and commitment to large-scale production, thereby solidifying its competitive edge in the market.

A discussion on Qualcomm's strategy for incorporating co-packaged optics and silicon photonics into their AI series, aiming to reduce power consumption and enhance optical connectivity, with initial deployment in the AI 300 series and a focus on scaling out by 2028.