Agentic AI tackles RTL verification's productivity gap, EE Times reports

Agentic AI systems are being deployed to address a long-standing bottleneck in semiconductor design: register-transfer-level (RTL) verification, which consumes 60–70% of design cycles. AI agents can now autonomously generate and optimize test cases, accelerating verification workflows.

For chip design teams, this automation reduces manual verification time and catches design flaws earlier, cutting time-to-market. As custom silicon demand grows—especially for AI accelerators—agentic verification becomes a competitive advantage in the design-to-fab pipeline.