| About Expanding Eligible MarketAgentic AI is a demand accelerator for Cadence, expanding the design exploration space and calling underlying physically accurate engines more often, creating a significant long-term TAM expansion opportunity. Cadence is now the only provider with agentic solutions spanning the full electronic system design flow, from digital analog design and verification to advanced packaging and PCB. The IP business saw strong adoption due to AI performance constraints from data movement, memory bandwidth, and advanced packaging. System design and analysis revenue grew significantly as AI system complexity drives customers to advanced packaging and PCB solutions. The overall environment is much better, with hyperscalers showing higher commitment to silicon and AI semi companies growing immensely, alongside improvements in traditional analog and consumer verticals. | About CompetitionCadence extended its leadership in agentic AI with AuraStack AI Super Agent, delivering up to 15x higher productivity and 2x faster time to market for PCB and advanced packaging design, making it the only provider with agentic solutions spanning the full electronic system design flow. The company achieved a significant competitive win with Spectre at a leading semiconductor supplier and notched several production wins with Spectre FX. Cadence also secured a notable competitive win with a major AI infrastructure provider and saw competitive displacements in its BETA CAE business. Management stated that their competitive position has never been better, leading the transformation to agentic AI in chip and system design, and they are taking significant market share across different customers in agentic AI, hardware, and IP. The quality of Cadence's IP, particularly PPA for leading nodes, has improved, leading to competitive wins where they previously did not participate. The new multi-year collaboration with Intel is a significant development, as Cadence had been trying to work closer with Intel for a very long time, and this represents a normalization of their relationship, similar to their engagement with Samsung over the last six to twelve months. | About The Broader IndustryThe AI transformation is driving strong, broad-based performance across both design for AI and AI for design fronts. Design activity is growing due to AI driving exponential design complexity and new system architectures for hyperscaler infrastructure and physical AI. Customers are investing aggressively in AI and HPC opportunities, with continued signs of improvement in traditional analog and consumer verticals. AI performance is increasingly constrained by data movement, memory bandwidth, and advanced packaging. The overall environment is much better, with hyperscalers showing a much higher commitment to silicon than 12 months ago, and AI semi companies growing immensely. The foundry ecosystem is much more diverse than before, and there's increased activity in startups across AI, networking, and CPU. Moore's law is slowing down, necessitating design efficiency, better optimization, and AI agents for improvement. Semiconductor is now considered essential by 'Magnificent 7' companies. | Where Things Are HeadedCadence is raising its guidance for the year to 19% revenue growth with higher profitability, becoming a more central and strategic partner to customers. Agentic AI is expected to be a durable tailwind and a significant long-term TAM expansion opportunity. The multi-year collaboration with Intel is anticipated to be a meaningful driver of growth over the next few years. Cadence expects monetization through new workflow products and increased usage of underlying engines, though not a sudden step function in guidance. The company now expects 2026 revenue in the range of $6,260 to $6,340 million, non-GAAP EPS of $8.05 to $8.15, and operating cash flow of approximately $2 billion. Cadence plans to use approximately 50% of its free cash flow to repurchase shares in 2026. Management is making targeted investments in the second half of 2026 to improve operating margins for 2027, and expects acquisition profitability and IP profitability to continue improving into 2027. | Updates On ThemeCXL | Broader Themes EmergingAI transformation, Agentic AI, Physical AI, Hyperscalers' increasing commitment to custom silicon, Slowing of Moore's Law driving need for design efficiency and AI optimization, Diversification of the foundry ecosystem, Resurgence of high-profile startups in AI, networking, and CPU, Semiconductor becoming essential for 'Magnificent 7' companies. | Bullish-Leaning Quotes (Short)Cadence delivered outstanding financial results for the second quarter of 2026, with all key metrics exceeding our guidance. We exited the quarter with record backlogs that was above our expectations. We are raising our guidance for the year to 19% revenue growth and with higher profitability. Our competitive position has never been better as we lead the transformation to agentic Al in chip and system design. Our IP business had an outstanding quarter, growing over 40% year-over-year. Our hardware business delivered another record quarter. This is the highest raise we ever had, is that it is broad-based, including software and Al contributing to that growth. The overall environment is much better. The strength is broad-based across all businesses and across all regions. | Bearish-Leaning Quotes (Short)Due to risks and uncertainties, actual results may differ materially from those projected or implied in today's discussion. All forward-looking statements during this call are based on estimates and information available to us as of today, and we disclaim any obligation to update them. We're still not assuming a sudden step function in our guidance. You'll notice that the second half is slightly lower margins than the first half, but that's a reflection of us making targeted investments. | HiringIn general, of course, we are growing, we will invest, both in R&D and application engineering. Agentic AI does not require some massive step increase in investment. Some hiring we will do. It's more of a business as usual. We are hiring AEs, and AI can dramatically reduce AE workload and make them much more productive. More of the AEs can participate in pre-sales activity rather than post-sales support. We are deploying AI for software development, and for IP development to make them more efficient. The investment talked about is more for SDA, for the integration, and investing in Intel. |