AI-Driven Evolution in Integrated Circuit Design: A Qualitative Exploration of Transformative Potential and Human Collaboration

This paper explores the intricate relationship between artificial intelligence (AI) and integrated circuit (IC) design. With the relentless evolution of technology, IC design faces escalating challenges in complexity, cost, and verification. AI emerges as a transformative force, offering solutions to these issues. The paper investigates AI's potential in IC design through a qualitative study involving domain experts. The findings reveal a consensus on AI's inevitability in the field. As ICs become more intricate, AI-driven automation becomes indispensable, though opinions on the traditional interpretation of Moore's Law diverge. The impact of AI varies across IC design domains, with certain areas benefiting significantly from automation while others rely on human expertise. AI is expected to play a pivotal role in synthesis, System-on-Chip (SoC), ASICs, and memory ICs, whereas domains like analog and photonics may experience less direct AI influence. Notably, AI is poised to revolutionize IC design verification, addressing mounting complexity. AI integration extends across essential IC design domains, including architecture, verification, validation, physical design, and manufacturing. AI-driven approaches target areas like physical verification, simulation, design for manufacturing (DFM) analysis, and cost reduction. Furthermore, AI's potential in quantum computing ICs is recognized, enhancing computing power and resource distribution efficiency. Crucially, AI is seen as a complement, not a replacement, for human expertise. The synergy between human creativity and AI-driven automation is deemed vital for achieving optimal IC design. This paper underscores the transformative potential of AI in IC design, offering insights into its role, challenges, and the enduring importance of human ingenuity.