Artificial Intelligence (AI) offers a solution to the bottleneck issues in the design of integrated circuits (IC) by optimizing and automating tasks in the design and fabrication process. As the world focuses on the development of skilled manpower and automation tools for chip design, verification, testing and fabrication, AI can be utilised to optimize and automate various steps in design cycle, saving time, reducing errors, and managing power consumption. AI-Driven Optimization and Automation of Integrated Circuit Design discusses the latest AI-based methods, algorithms, architectures, and frameworks for digital, analog, and mixed-signal VLSI circuit design, verification and testability, physical design and related areas. It considers the issues with traditional circuit design, and explains how machine learning techniques can optimise and automate the process. It goes on to explain how AI-driven design can impact logic synthesis, circuit placement and routing, and behavioural simulation. It closes with cases studies and a look at future developments for implementations of VLSI design, IC design, and hardware realization using AI tools and techniques. Explains how AI algorithms can significantly speed up the IC design process by automating tasks Describes how AI can enhance precision in circuit design by reducing errors and improving design verification through predictive analysis Offers insights into how to integrate AI tools and techniques into existing EDA (Electronic Design Automation) workflows.