CS majors could be trained in hardware design to help bridge the talent gap, while adjustments to the EE curriculum could streamline the learning process. Various innovative strategies are being explored to combat the scarcity of skilled professionals in the semiconductor field, including utilizing AI tools more extensively and providing cross-disciplinary training to engineering graduates. Advancements in AI technology are facilitating more efficient design and verification of semiconductor hardware by assisting engineers. Academic institutions are experimenting with diverse methods, such as intensive training programs and leveraging AI tools, to address the talent shortage by equipping software engineers with hardware design skills. Educating software engineers in hardware design is a challenging but potentially feasible endeavor that would require proper education and job training according to Matthew Graham from Cadence. Future chip developers and verification engineers will possess a different skill set compared to today’s engineers, with new tools offering higher-level abstractions for describing hardware akin to software development paradigms. Despite advancements in AI, hardware engineers will still play a crucial role in designing quality chips as highlighted by Kexun Zhang from ChipAgents and Carnegie Mellon University. The integration of AI into chip design processes reflects the industry’s ongoing efforts to enhance efficiency. Researchers like Jason Cong from UCLA have been exploring ways for software engineers to engage in hardware design through a multi-agent approach combining human and machine intelligence. The evolving EDA industry underscores the increasing significance of hardware-software co-design, presenting challenges for students deciding on their educational paths and companies identifying suitable hires. The talent shortage remains a pressing issue within the semiconductor sector, as acknowledged by Alexander Petr from Keysight EDA. Startups emerging from universities have an edge in accessing student talent for recruitment purposes. While Bachelor’s degrees offer foundational knowledge, pursuing a Master’s degree can introduce new concepts, and a PhD may delve into research aligned with industry demands. Universities are grappling with keeping pace with rapid chip technology advancements alongside integrating AI into their curricula. In light of AI advancements impacting semiconductor development, universities must communicate effectively to attract students interested in electrical engineering, computer science, and other disciplines vital to the semiconductor domain. The potential scenario where software engineers could undertake hardware design roles as AI agents improve is a prospect worth considering.