Strategic Performance Drivers
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Achieved record $8 billion backlog driven by accelerating AI demand and strong customer confidence in the AI-driven portfolio for complex chip and system design.
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Pioneered the transition to 'Agentic AI' with the launch of AgentStack, a framework enabling autonomous design across chips, 3D-IC, and systems through specialized AI Super Agents.
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Attributed strong IP business growth of 22% to the increasing complexity of advanced node designs and chiplet-based architectures in AI, HPC, and automotive sectors.
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Positioned the company to lead in 'Physical AI' by integrating Hexagon's structural and multi-body dynamics technologies to narrow the sim-to-real gap in robotics and autonomous systems.
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Emphasized a '3-layer cake' strategic framework where agentic AI sits atop physically accurate simulation engines and accelerated compute to deliver high-fidelity results.
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Reported record hardware performance for Palladium Z3, noting its role as the gold standard for emulation in competitive displacements among AI and hyperscale customers.
Outlook and Strategic Assumptions
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Raised 2026 revenue growth outlook to 17%, targeting the 'Rule of 60' for the first time in company history.
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Anticipates agentic AI will materially expand EDA consumption as AI agents invoke simulation and verification engines at a higher scale than human engineers.
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Expects the Hexagon acquisition to be dilutive in 2026 due to integration costs and financing impacts, with a return to accretion projected for 2027.
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Assumes current export control regulations remain substantially similar for the remainder of the fiscal year.
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Projects a shift toward a 'subscription plus consumption' business model for new agentic tools that automate previously manual tasks like RTL generation and analog design.
Strategic Risks and Structural Items
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Identified a $0.28 EPS dilution impact from the Hexagon acquisition in 2026, primarily due to lost interest income and integration timing.
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Noted that 2026 is a relatively low renewal year, meaning growth is heavily dependent on add-on sales and new product adoption rather than contract cycles.
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Flagged a $180 million operating cash flow impact related to pre-close Hexagon tax liabilities, which are classified as operating rather than investing activities.
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Highlighted the strategic collaboration with Google to optimize AI Super Agents using Gemini on Google Cloud for cloud-native chip development.
Q&A Insights
Defensibility of core EDA tools against AI-generated software
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Management expressed high confidence in their competitive moat, citing the deep domain expertise of 10,000 R&D staff and the complexity of physically accurate engines.
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Argued that while AI can assist in writing code, the tight coupling of AI orchestration with proprietary simulation data is difficult for newcomers to replicate.
Monetization strategy for agentic AI and base tool consumption
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Confirmed a dual monetization path: selling new agentic workflow products via subscription/consumption models and capturing increased usage of base tools.
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Noted that AI agents perform significantly more design experiments than humans, naturally driving higher license consumption for underlying engines.
Impact of semiconductor shortages on R&D engagement
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Stated that shortages often drive more design activity as customers seek to qualify multiple foundries or nodes to ensure capacity.
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Observed that customers are willing to shift labor spend toward automation to address the 'unrealizable' headcount growth required for next-gen designs.
Expansion of IP business and foundry partnerships
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Reported a record IP deal with a leading global foundry (clarified as not being Intel) at the most advanced nodes.
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Indicated positive progress with Intel on 18A and 14A nodes, noting that foundries increasingly require ready-made IP to attract their own customers.
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