Semiconductor Stocks Surge Amid AI Boom, Showing Different Pattern Than Dot-Com Bubble, But Overheating Fears Grow

As semiconductor stock prices rapidly rise with the advancement of AI technology, analyses suggest this trend differs from the internet company bubble (dot-com bubble) of the 2000s. However, voices warning that the stock price surge could become excessively overheated are also growing. With the expansion of AI services, demand for various semiconductors including not only GPUs but also CPUs and memory is significantly increasing, and large-scale investments by global IT companies are fueling the possibility of market overheating. In fact, over the past six weeks, the market capitalization of semiconductor companies included in the Standard & Poor's (S&P) 500 index has increased by approximately 3.8 trillion dollars (over 5,500 trillion won). Micron has projected revenues of 107 billion dollars and operating profit of 77 billion dollars for the 2026 fiscal year.

What differentiates this semiconductor rally from the past dot-com bubble is actual performance. However, concerns about some speculative trends and excessive optimism are also mounting.

The domestic stock market is also under the influence of this global semiconductor rally. Major semiconductor stocks, including Samsung Electronics and SK Hynix, are continuing their strong performance, and investment funds are spreading to companies involved in AI server-related equipment and materials.

The trend of expanding AI infrastructure investment is likely to continue. However, if expectations outpace reality too much, there is a possibility of increased volatility, and if signs of slowing growth are detected, investor sentiment could quickly cool down. Market experts say the key ultimately lies in checking corporate performance and valuations. While the structural growth potential of the semiconductor industry due to the AI era is clear, as expectations have already been significantly reflected in stock prices, a thorough analysis of actual corporate performance has become even more crucial.