South Korea's KOSPI index fell by more than eight percent [1] as investors weighed the sustainability of AI-driven memory chip demand.

The volatility highlights a growing divide among traders regarding the valuation of semiconductor giants like Samsung and SK Hynix. If the current surge is merely cyclical, current stock prices may be inflated; however, a structural "super-cycle" would justify higher valuations based on long-term revenue growth.

Janet Mui of RBC Brewin Dolphin said traders are unsure if memory chip demand is cyclical or in a super-cycle, though chipmakers' revenues could justify valuations moving higher [1]. This uncertainty has triggered a broader sell-off in AI-related chip stocks, reflecting fears that the market may be entering a bubble.

Some analysts maintain a more bullish outlook. A BNN Bloomberg analyst said AI server growth is driving a surge in memory demand [3]. This perspective suggests that the expansion of data centers is creating a fundamental shift in how much memory is required per server, potentially signaling a long-term structural increase rather than a short-term spike.

Supply constraints also remain a critical factor in the market. ASML CEO Peter Wennink said the chip market will remain supply-limited for a while [2]. Tight supply typically supports higher prices for manufacturers, but it can also lead to volatility if demand forecasts shift suddenly.

Despite the recent plunge in the KOSPI, the debate continues between those who see a temporary rally and those who believe the AI revolution is permanently altering the semiconductor landscape. The tension between these two views is currently driving the price swings seen in South Korean and global markets.

South Korea's KOSPI index fell by more than eight percent

The divide between 'cyclical' and 'super-cycle' theories represents a fundamental disagreement over the maturity of the AI economy. If the market is cyclical, the current crash may be the start of a correction. If it is a super-cycle, the KOSPI's drop is a temporary dip in a long-term upward trajectory driven by the physical infrastructure needs of generative AI.