As design complexity accelerates, time-to-market pressures intensify, and the specialized EDA workforce declines, the traditional approach of using EDA tools in isolation and then iterating on the design is reaching its limit. Specifically, this shrinking workforce cannot handle iterating on multiple design options while ensuring designs are verified and DRC-clean in ever-shorter timeframes.
This presentation outlines how EDA AI agents can work individually and collaboratively—using advanced reasoning, multi-tool integration, and data analysis—to enable a fully autonomous end-to-end EDA workflow by leveraging direct API integrations, MCP, and Agent skills.
We demonstrate this across the complete EDA workflow: (a) C-to-RTL-to-GDS flows generate RTL and deploy PPA optimization agents; (b) custom IC and analog/mixed-signal workflows leverage autonomous setup builders and intelligent debugging with data flywheel approaches for continuous agent refinement; (c) physical verification benefits from intelligent DRC remediation, run optimization, and SVRF deck generation. Each domain showcases how agentic AI eliminates manual intervention while improving outcomes, both in-tool and across multiple tools.
To tie everything together, we then showcase how Siemens EDA is solving these challenges with the newly launched Fuse EDA AI System and the Fuse Agent, which are purpose-built to enable AI-powered automations in EDA. Lastly, we highlight that completing this transformation represents a new design philosophy: one in which engineers and AI agents collaborate as co-designers, each amplifying the other’s strengths across the full EDA workflow.
