Will the majority (over 50%) of new custom chip designs (ASICs/SoCs) initiated by non-semiconductor companies in 2027 utilize an AI-driven Electronic Design Automation (EDA) flow?

AI in Chip Design: 50%+ Adoption for Custom Silicon by 2027

Artificial Intelligence (AI) is transforming the complex process of designing semiconductors, known as Electronic Design Automation (EDA). This prediction states that the majority (over 50%) of new custom chip designs (ASICs/SoCs) initiated by non-semiconductor companies (e.g., Google, Amazon, Tesla) in 2027 will utilize an **AI-driven EDA flow**.

The Need for Speed and Optimization

The high **'Yes'** vote is driven by the fact that AI-driven EDA tools (from companies like Synopsys and Cadence) offer a critical advantage: accelerating the design time while achieving superior Power, Performance, and Area (**PPA**) metrics. For major tech companies creating their own highly specialized silicon to run LLMs and other large AI workloads, using AI to design the chip itself is quickly becoming an **operational necessity** to maintain a competitive edge, making it the standard approach for new designs by 2027.