A：The key highlights of Cadence's first quarter 2026 earnings conference call include the strong start to the year with accelerating AI demand, disciplined execution leading to one of the best Q1 results in the company's history, a record backlog of $8 billion reflecting strong customer confidence, the introduction of the 'agent stack' for AI super agents, and the pioneering of the industry's most advanced and comprehensive end-to-end EDA flow platform.

A：A strategic collaboration was announced between Cadence and Google in Q1. This collaboration optimizes the Cadence Leda Superagent with Gemini on Google Cloud, combining AI reasoning with GCP scalable compute to deliver a cloud-native platform for next-generation chip development.

A：Cadence is uniquely positioned to lead the transition to physical AI, especially as AI moves into autonomous systems like cars, drones, and robotics. The addition of Hugin's DNA leading structural and multibody dynamics technologies to Cadence's system analysis portfolio puts it in a leadership position in physical AI, enabling customers to build and train new AI work models.

A：The expanded partnership between Cadence and Nvidia combines their AI-driven solutions with Nvidia's advanced technologies, accelerating engineering workflows and boosting productivity across chip design, physical AI systems, and hyperscale AI factories.

A：The core EDA business delivered another strong quarter with 18% year-over-year revenue growth, attributed to increasing proliferation at market-shaping customers. AI-driven solutions and the agentic offerings played an important part in customer renewals and expansions, and hardware acceleration led to the best quarterly results ever, particularly in AI and HPC customers and increasing demand in automotive and robotics.

A：The speaker expressed satisfaction with the strong execution and broad-based momentum of the business, highlighting the gain in share of the digital platform at the most advanced nodes and the strong performance across all businesses, robust design activity, and record backlog.

A：For Q2, the expectations include revenue in a range of $1.1 billion to $1.195 billion, an operating margin ranging from 28.5% to 45.5%, and earnings per share in the range of $1.70 to $1.13. The updated 2026 outlook entails revenue in the range of $6 billion to $125 million to $225 million, GAAP operating margin in the range of 27.5% to 28.5%, non-GAAP operating margin in the range of 43.5% to 44.5%, GAAP EPS in the range of $4.39 to $4.49, and non-GAAP EPS in the range of $7.85 to $7.95.

A：There are concerns that AI may not be able to write better Eda tools, and there are doubts about whether AI can create more advanced versions of virtual tools used in the Eda industry. There is also a recognition that there are many Eda startups happening simultaneously.

A：The speaker is very confident in Cadence's position in the base tool business and its competitive advantage. They emphasize that Cadence employs highly skilled staff, with over a thousand people holding PhDs from top universities. They plan to internally deploy AI to enhance their software.

A：The integration of AI through the 'agentic' part of Cadence's products allows for interplay with base tools, creating new opportunities for growth in design expansion and the sale of products in new spaces like RTL generation and verification. This new business model is expected to be consumed more on a subscription plus consumption model.

A：The acquisition of the Hexagon design and engineering business is causing a decrease in operating margin guidance. The impact is primarily due to the inclusion of the acquisition and the method of payment (30% in shares and 70% in cash), leading to a dilution effect. However, the deal is expected to be accretive in the long term, and the impact is included in the guidance provided by Cadence.

A：Despite the chip shortage, customer engagement with Cadence remains healthy. The shortage is not directly impacting customers' long-term R&D roadmaps, and in some cases, customers are exploring multiple foundries or nodes to ensure capacity, which could lead to more design activity for Cadence. The shortage also creates a positive environment for engaging with new solutions and seems to have improved the market conditions.

A：New revenue opportunities for Cadence come from the evolution of EDA tools and the introduction of AI-driven 'agentic' tools that can automate tasks previously done manually by customers. This leads to a shift in the way tools are priced, with new offerings sold on a subscription plus consumption model, which is similar to leading AI tools. The expected headcount growth for customers is also anticipated to be a new category for Cadence. Furthermore, AI-driven automation is expected to increase the usage of base tools, thereby creating additional demand.

A：The company's strong Q1 guidance suggests a robust start to the year across all businesses, including IP. This indicates that the third year of strong growth is well underway and that the company is on track for a good full-year performance.

A：The key drivers of growth in the IP segment include the quality and performance of the company's IP, which is leading to competitive wins and significant major customer acquisitions. The portfolio is expanding with organic and acquired innovations, such as HBM from Rambus and development of critical chip technology organically. New foundries, including TSMC, Samsung, Intel, and others, are also contributing to the increased demand for IP as they require more IP for design activity and AI.

A：The new team is contributing to the company's success in IP by enhancing performance due to the nature of the products being based on standards. Better power and area performance relative to competitors result in customers choosing the company's IP, leading to competitive wins and major customer acquisitions.

A：The impact of new foundries on the company's IP business is positive as they are driving more design activity and increasing the need for IP. With the expansion into new foundries beyond TSMC, there is a substantial requirement for more IP, which is reflected in the company's robust IP growth. This includes a significant deal at a leading global foundry and progress with Intel, indicating a strong engagement with multiple foundries.

A：The company expects to achieve operating margins in line with the targeted rule of 60 by the end of the year. While the first half of the year was very strong, the second half is described as appropriately prudent. The profitability is expected to improve with the acquisition integrations and benefits from the company's recent acquisitions, and this is expected to continue into the second half. The company has also seen opportunities to stretch incremental operating margin with advancements in customer engagement and AI.

A：Revenue growth in the second half of the year could be below the implied guidance due to lumpy revenue in the Hexagon business, potentially from moving customers into multi-year license agreements or due to variability in the core business such as an earlier weighted hardware or IT shipment profile in the first half.

A：The prospects for the physical AI segment are very positive, with the company considering it a significant growth area. The combination of recent acquisitions and previous technologies creates a complete solution for physical AI. This development is expected to lead to a substantial increase in value for the company as physical AI is projected to be larger than data center AI, presenting opportunities worth trillions of dollars in product revenue. The physical AI advancements will also enhance the data center slice by enabling deployment of AI models in various applications, including cars.

A：Customers might choose to use the super-agents provided by the company because they are confident in the company's expertise in managing the agentic flow and in coupling the agents with the base tools, rather than having to write their own.

A：The difference between traditional EDA engines and agentic AI in terms of usage is that agentic AI does not replace the core EDA engines but calls them more often and intelligently, creating a monetization opportunity that is twofold.

A：The adoption timeline for physical AI in markets like automotive and robotics is different from traditional AI and is expected to be sooner due to a new category of TAM expansion related to labor productivity. The exact timing when the benefits from this adoption will be reflected in software is not specified.

A：The impact of shortages and new AI integration on the company's ability to add value to customers is positive, providing more opportunities and leading to the potential for adding value through new solutions and add-ons.

A：The leading customers for implementation are TSMC, Samsung, and Intel. The company is working with major AI infrastructure/ASIC companies and is glad to see adoption across the board.

A：The specific pattern in renewal behaviors for the current year that might indicate strong future sales is that actual renewals are happening later than expected in terms of annual value basis, with a mix of add-on sales that are contributing to strong revenue in the first quarter.

A：The strong quarterly results in China were driven by strong revenue performance, with a 13% growth over the guide. The year-over-year comparison was impacted positively by the revenue in China. The organic growth for the full year versus just the quarter is strong, and while the quarter's performance was impressive, the company still believes there is conservatism in the guidance for the second half.

A：The adoption of the Millennium platform is going well, and it is being well-received across various sectors including automotive, drones, aerospace and defense. The platform is seeing success with applications like CFD and SDA, and it has significant opportunities in traditional areas as well as in EDA sign-off for 3D IC systems.