Planning Your AI Design Journey in RF EDA

Artificial intelligence is rapidly reshaping electronic design automation, creating new opportunities for RF and microwave engineering teams to improve productivity, preserve expertise, and accelerate innovation. As designs become increasingly complex and experienced engineers become harder to replace, organizations must find practical ways to integrate AI into existing workflows without disrupting proven design processes.

This white paper presents a strategic framework for AI adoption built around three complementary themes: Capture, Orchestrate, and Accelerate. Rather than prescribing a single transformation path, the framework enables organizations to pursue one or all three capabilities in parallel using the engineering tools they already rely on, including Advanced Design System (ADS), RFPro, RF Circuit Simulation Pro (Nexus), and Python. Capture focuses on making engineering knowledge reusable by transforming institutional expertise into accessible, repeatable workflows. Orchestrate introduces intelligent agents that automate routine engineering tasks and enable scalable design processes. Accelerate expands design exploration through machine learning, surrogate models, and measurement-correlated simulation to evaluate more design alternatives in less time.

Underlying each capability is Keysight's open, integrated EDA platform, built on decades of high-frequency design expertise and validated against real-world measurements. The paper also explores the emerging role of agentic design, outlines the progression toward greater engineering autonomy, and presents a practical roadmap for planning AI capabilities over the coming years.

For engineering leaders, the question is no longer whether AI will become part of the RF design workflow, but how quickly their organization can begin building the connected, intelligent engineering environment that will define the next generation of product development.