Surveying GenAI-Based Automation in Printed Circuit Board Design and Test

A survey submitted to arXiv on 10 June 2026 examines how generative artificial intelligence is being applied across the printed circuit board (PCB) design life cycle, from supply chains and system specification through circuit design, layout and optimisation, validation and test, and PCB assembly and distribution. The survey presents a taxonomy of discovered works categorised by intent and contribution, and identifies key technical challenges including domain-specific data scarcity and limited support for integration with existing PCB tools. The authors conclude that many opportunities remain for integrating GenAI into PCB design and test tasks, noting that prior hardware-focused GenAI work has concentrated on integrated circuit design automation and hardware description languages.

Computer Science Hardware Architecture Submitted on 10 Jun 2026 Title:Surveying GenAI-based Automation in Printed Circuit Board Design and Test View PDF https://arxiv.org/pdf/2606.17074 HTML experimental https://arxiv.org/html/2606.17074v1 Abstract:Generative artificial intelligence GenAI is increasingly used for applications in the hardware and software domains. It purports to reduce the manual effort involved in the development and testing of complex systems before release. Within the hardware space, most tasks have focused on design automation of integrated circuits, particularly with hardware description languages. However, other types of hardware also exist In this survey, we instead examine how GenAI has been and is being across the printed circuit board PCB design life cycle. This includes everything from supply chains, system specification, circuit design, layout and optimisation, validation and test, and PCB assembly and distribution. Through this lens we present a taxonomy of discovered works, categorising them according to their intent and contributions. This survey also identifies key technical challenges that GenAI faces in this space, such as domain-specific data scarcity and limited support for integration with existing PCB tools. Finally, future research directions are discussed: our survey shows that there are many opportunities remaining when considering how GenAI may be integrated into various tasks in PCB design and test. References & Citations Loading... Bibliographic and Citation Tools Bibliographic Explorer What is the Explorer? https://info.arxiv.org/labs/showcase.html arxiv-bibliographic-explorer Connected Papers What is Connected Papers? https://www.connectedpapers.com/about Litmaps What is Litmaps? https://www.litmaps.co/ scite Smart Citations What are Smart Citations? https://www.scite.ai/ Code, Data and Media Associated with this Article alphaXiv What is alphaXiv? https://alphaxiv.org/ CatalyzeX Code Finder for Papers What is CatalyzeX? https://www.catalyzex.com DagsHub What is DagsHub? https://dagshub.com/ Gotit.pub What is GotitPub? http://gotit.pub/faq Hugging Face What is Huggingface? https://huggingface.co/huggingface ScienceCast What is ScienceCast? https://sciencecast.org/welcome Demos Recommenders and Search Tools Influence Flower What are Influence Flowers? https://influencemap.cmlab.dev/ CORE Recommender What is CORE? https://core.ac.uk/services/recommender arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs https://info.arxiv.org/labs/index.html .