Human-Centered Agentic AI Introduced for Chip Design Verification
March 12, 2026 — A new approach to Artificial Intelligence is being introduced to improve how engineers design and verify complex computer chips. The concept, known as agentic AI, aims to help engineers manage increasingly complicated workflows in Electronic Design Automation (EDA).
For decades, improvements in chip development focused on faster simulation tools and more powerful computing engines. However, experts say the biggest challenge today is no longer tool performance but the complexity of coordinating multiple design and verification processes.
Modern System-on-Chip (SoC) designs involve multiple clock domains, embedded software, and constant design changes. As a result, engineers often spend significant time managing simulations, analyzing results, and adjusting verification strategies instead of focusing on higher-level design decisions.
AI Agents Supporting Engineers
The new agentic AI approach introduces intelligent software agents that can observe verification progress, plan tasks, run simulations, and summarize results. Instead of replacing engineers, these systems are designed to assist them by reducing manual coordination and repetitive work.
One example is the Questa One Agentic Toolkit, developed by Siemens. The toolkit integrates AI agents directly into design verification tools, allowing them to interact with simulation engines and analysis systems in a controlled environment.
These agents can help with several tasks, including generating RTL code from design descriptions, optimizing lint analysis, verifying clock domain crossings, planning verification strategies, and assisting with debugging complex failures.
Human-Centered Design
Despite the growing role of AI, experts emphasize that engineers remain central to the decision-making process. The system follows a human-in-the-loop model, meaning that AI can suggest actions or perform limited tasks, but critical design decisions must still be reviewed and approved by engineers.
This approach helps maintain trust and accountability in chip verification processes, where even small design errors can have significant consequences.
Improving Productivity in Chip Development
Developers believe agentic AI could significantly improve productivity in chip development by automating routine tasks while keeping engineers focused on strategic decisions, risk evaluation, and system design.
As chip architectures become more complex, human-centered AI tools are expected to play a larger role in helping design teams manage verification workflows without sacrificing reliability or quality.
Industry experts say the long-term goal is not to replace engineers but to enable them to spend more time on critical thinking and innovation while AI handles repetitive coordination tasks.
