Asian stock markets experienced mixed results on Monday, with notable movements across key indices. South Korea’s Kospi index experienced a significant downturn, plummeting nearly 5% as investors divested from artificial intelligence-related stocks amid rising concerns over the sector’s valuation. This decline was characterized by steep losses in major technology firms, including a 4.4% drop in Samsung Electronics and a 3.3% fall in chipmaker SK Hynix. In contrast, other Asian markets showed more positive trends; Hong Kong’s Hang Seng index increased by 2.1%, and China’s Shanghai Composite rose by 1.2%.
Oil markets, however, saw a sharp rise in prices. Brent crude jumped 2.6% to reach $90.40 per barrel, while U.S. crude increased by 2.2% to $83.58 per barrel. This surge in oil prices came as tensions heightened between the United States and Iran, sparking fears of potential disruptions in the Middle East. Additionally, concerns over global oil supply were exacerbated by a noticeable slowdown in tanker traffic through the Strait of Hormuz, a crucial passage for energy exports.
In Taiwan, the stock market remained relatively stable, with Taiwan Semiconductor Manufacturing Co. seeing a 2% gain. Meanwhile, Australia’s benchmark index saw a modest rise, while India’s Sensex slipped by 0.9%. The technology sector worldwide is under scrutiny as investors evaluate whether the extensive investments in artificial intelligence have led to a bubble. This sentiment was compounded by the launch of the Kimi K3, a new open-source AI model from Beijing-based Moonshot AI, which has intensified competition in the rapidly advancing tech landscape.
Wall Street concluded the previous week on a negative note, with all major indices—the S&P 500, Dow Jones Industrial Average, and Nasdaq—recording losses. Among the most affected were chip stocks, with industry leaders such as Nvidia, Broadcom, and AMD experiencing declines. This trend underscores the broader reevaluation of the technology sector by investors amid ongoing developments and competitive pressures in artificial intelligence.