Scaling Agentic AI for Semiconductor Design: Lessons from Real-World Deployments

AI is changing semiconductor design and verification from tool-driven workflows to outcome-driven, autonomous engineering. Instead of manually configuring tools, analyzing results, and managing multiple handoffs across design stages, engineers can increasingly rely on AI to reason over design intent, orchestrate tools, verify results, and drive faster design closure with greater compute and token efficiency.
In this 10-minute session, ChipAgents Founder & CEO William Wang will explore how agentic AI is moving beyond copilots into production-ready semiconductor workflows across  functional and formal verification, debug, and PPA optimization. Drawing on real-world deployments, he will share practical lessons for scaling AI-native flows to reduce iteration, accelerate convergence, and achieve 10X design productivity.

Key Technologies Covered

• Agentic AI for semiconductor design and verification
• AI-native IC design flow
• Semiconductor agents
• Applied AI for semiconductor