Investor Relations VP introduces Arm's Q1 FY2027 earnings call, highlighting forward-looking statements, risks, and non-GAAP financial measures. The call emphasizes the importance of understanding potential risks and uncertainties affecting future financial results, with a focus on transparency regarding non-GAAP measures and their reconciliation to GAAP equivalents.

Arm delivers record-breaking Q1 results, highlighting AI's transformative impact on compute infrastructure. The company's Arm compute platform is increasingly standardized across AI infrastructure, PCs, smartphones, and physical AI applications. Arm's Neoverse business, particularly data center royalties, has seen significant growth, with leading AI infrastructure providers validating the trend. Arm's efficient compute solutions are pivotal in expanding AI capabilities, from cloud to edge, and into the physical world, driving the next decade of computing convergence.

Revenue surged 22% year-on-year to $1.29 billion, with royalty revenue reaching $715 million, its highest Q1 ever. Cloud AI data center royalties more than doubled, driven by Arm-based server chips. Licensing revenue also hit a record $574 million, fueled by demand for next-gen architectures and strategic customer engagements.

Arm reported robust Q2 financials with significant licensing revenue, driven by high-value agreements with key industry players. The company secured $193 million from its SoftBank deal and expects a $200 million quarterly run rate. Arm's ACV grew, reflecting strong customer demand for its AGI CPU. The firm is expanding engineering teams and investing in next-generation technologies, achieving a 41% non-GAAP operating margin and generating $665 million in free cash flow, positioning it for long-term growth.

The guidance outlines Q2 expectations with revenue projected at $1.38 billion, 20% year-on-year growth, and non-GAAP EPS around Rick cents, plus or minus phi cents. License revenue to increase 30%, while royalties see low Te growth, with operating expenses estimated at $780 million.

The speaker expresses confidence in the company's long-term growth, attributing it to robust customer demand, technology portfolio expansion, and strengthened customer relationships.

The dialogue highlights enhanced confidence in achieving $1 billion in AGI revenue, attributed to improved supply chain security across components like wafers, substrates, test capacity, and memory. It also discusses the gross margin structure, expecting it to remain in the high 40s to low 50s initially, with plans to reach 50% over the next couple of years by bringing more work in-house. A detailed update on revenue and margin profiles is promised before Q4.

The dialogue discusses the impact of higher memory handset costs and inflation on smartphone OEMs, leading to price increases. Despite the projected double-digit decline in the smartphone market, there's an expectation of double-digit growth in royalty revenues due to the shift towards V9 and CSS versions, isolating the company from market downturns. The conversation also touches on the forward guidance implications of these trends.

The dialogue discusses a shift in industry projections, noting a slowdown affecting all market segments, not just the lower end. Royalties are expected to decrease, impacting forecasts from a previously anticipated 20% year-on-year growth to closer to the high teens. However, the positive performance of Cloud AI is offsetting weaknesses in the smartphone sector, maintaining confidence in full-year and next year's financial outlook. Updates on the situation will be provided in the coming quarters.

Discussion highlights the projected CPU TAM increase, driven by growing inference and AI demands, suggesting initial estimates might have been conservative. The company reassures current outlooks remain valid amidst evolving market conditions.

The dialogue discusses the growth of market size from 100 billion to 220 billion, highlighting potential revenue increase with market share. It addresses supply chain constraints impacting revenue targets for FY27-28, with expectations of easing by FY29-30. Internal targets exceed external projections, focusing on reaching $2 billion revenue, with updates to follow.

A discussion unfolds around AMD's ambitious $220 billion growth target by decade's end, focusing on AI's pivotal role. The query delves into how AMD's silicon business aligns with AI categories: traditional CPU enhancements, generative AI, and agentic applications. Insights are sought on prioritization and strategic positioning within these segments for future success.

The Magi CPU is a versatile solution suitable for traditional servers, head nodes, and AI applications, meeting the demands of diverse customers including those focused on agentic workloads. Its adaptability is highlighted by the involvement of companies like Cerebrals, OpenAI, Meta, Cloudflare, and Oracle OCI, showcasing its broad applicability in various computing environments.

A financial analyst receives a question from an investor, likely seeking insights or analysis, with the query being relayed through a line of communication.

The dialogue discusses Arm's struggle to secure additional supply for AI CPUs amidst a tight global market. It highlights Arm's potential in connecting with custom accelerators, exemplified by Nvidia's Envi linked Fusion platform, suggesting future integration paths for Arm CPUs with proprietary accelerators.

An analyst inquires about the progression of CPU core counts in AI systems, specifically seeking insights on the timeline for 192 or 256 core CPUs and updates on ASIC advancements. There's also a query regarding the potential for segregating silicon and CPU revenue streams due to their growing significance.

Speakers discuss the trend towards increasing core counts in future processor designs, highlighting the efficiency gains for running genic workloads. The focus is on the potential benefits of more cores for software overhead and virtual machine performance, with no specific roadmap details provided.

Discusses the plan to separately report revenue from a new product once it reaches 10% of total revenue, expected by fiscal year-end 28, following initial shipment late this year.

The dialogue discusses royalty revenue growth expectations, noting a shift from 20% to high teens due to smartphone weakness. However, licensing revenue is anticipated to offset this, with potential upside from strong cloud AI deployments. Future guidance for fiscal year 29/28 remains positive, projecting continued 20% plus growth, supported by recovering smartphone markets and expanding AI deployments.

Discussion on how the proliferation of low-cost, open-source AI models affects the market positioning of AGI CPU franchises and IP businesses in data centers and edge computing, exploring potential benefits and drawbacks.

Discussion on how a shift towards open source models could be neutral to positive for Arm, emphasizing the necessity of CPUs and IP for running models, and the potential benefits of smaller, more efficient open source models for edge devices.

The dialogue explores the factors influencing RD costs, highlighting the variability in tool utilization and forecasting improvements. It also addresses concerns over AGI CPU production, reassuring confidence in supply chain stability and partner capabilities, eliminating risks of critical component shortages.

The company celebrated a record-setting quarter with exceptional performance in the IP business and increasing market share in the data center arm. Notably, the R AGI CPU business, recently announced, has seen heightened demand and confidence in meeting that demand, surpassing initial expectations. The successful quarter underscores the company's achievements and its strong position in the market.