As AI moves from cloud environments into factories and physical systems, semiconductor design is being reshaped by new demands in speed, energy efficiency, and on-site learning. At a recent system-semiconductor seminar in South Korea, Seong-jun Jang, a research center director at the Korea Electronics Technology Institute (KETI), outlined four key architectural directions for future AI chips aimed at supporting industrial “physical AI.”