Agentic AI in Digital Chip Design: A Survey
Published:Dec 29, 2025 03:59
•1 min read
•ArXiv
Analysis
This paper surveys the emerging field of Agentic EDA, which integrates Generative AI and Agentic AI into digital chip design. It highlights the evolution from traditional CAD to AI-assisted and finally to AI-native and Agentic design paradigms. The paper's significance lies in its exploration of autonomous design flows, cross-stage feedback loops, and the impact on security, including both risks and solutions. It also addresses current challenges and future trends, providing a roadmap for the transition to fully autonomous chip design.
Key Takeaways
- •Explores the integration of Generative AI and Agentic AI in Digital Electronic Design Automation (EDA).
- •Covers the evolution from traditional CAD to AI-assisted and Agentic design paradigms.
- •Highlights the application of these paradigms across the digital chip design flow.
- •Addresses security implications, including adversarial risks and automated vulnerability repair.
- •Discusses challenges like hallucinations and data scarcity, and outlines future trends towards autonomous chip design.
Reference
“The paper details the application of these paradigms across the digital chip design flow, including the construction of agentic cognitive architectures based on multimodal foundation models, frontend RTL code generation and intelligent verification, and backend physical design featuring algorithmic innovations and tool orchestration.”