Artificial intelligence is reshaping nearly every layer of the technology stack, and hardware engineering is no exception. In a recent article for the Forbes Tech Council, Sirish Munipalli, CTO of Moores Lab ^AI explores how the rise of AI and large language models is influencing the evolution of hardware design languages and development workflows. Rather than replacing established languages like Verilog, the industry is moving toward a new paradigm where engineers can work at higher levels of abstraction, focusing on design intent while intelligent systems help translate that intent into detailed implementations.

This shift reflects a broader transformation across engineering disciplines. Large language models are increasingly being used to interpret design specifications, generate hardware description code, and assist with verification tasks throughout the development lifecycle.  As AI capabilities mature, the most impactful changes may not come from replacing existing tools, but from augmenting them. Our products including VerfiAgent^TM allow engineers to move faster, explore more design possibilities, and tackle the growing complexity of modern silicon systems.