Agentic AI: Bridging RTL Verification Productivity Gaps

Agentic AI is gaining traction in RTL verification to address productivity gaps. Here's the thing: traditional electronic design automation focused on faster engines, but that approach is now reaching its limits. The real bottleneck in modern system-on-chip development is coordination, not raw tool performance. What's interesting is that this constraint is particularly visible across East and Southeast Asia. Semiconductor investment is accelerating, but the supply of specialized engineers is struggling to keep pace. For example, China's semiconductor talent gap is in the hundreds of thousands. Malaysia and Vietnam are also implementing strategies to train tens of thousands of skilled engineers. Agentic AI aims to solve this by operating across workflows, observing verification states, planning actions, and executing tasks. The bottom line is that agentic AI seeks to amplify scarce expertise without replacing human judgment in critical decisions.