On Thursday, Asian tech stocks fell, following a pullback in overnight trading with their US counterpart, highlighting the increased volatility of global tech stocks. In the Japanese market, SoftBank shares closed down 4.4%, chip equipment manufacturer Tokyo Electronics shares fell nearly 6%, and Japanese memory chip maker Kioxia shares fell more than 10%. Korean stocks, on the other hand, showed greater volatility. SK Hynix's stock price fell 10.73%, and Samsung Electronics's stock price fell 6.5%. Despite increased volatility, analysts remain optimistic about the future of the tech industry. J.P. Morgan said in a Wednesday report that the wave of sell-offs in Asian tech stocks has not disrupted the AI investment cycle. The bank emphasized that aside from stock price trends, it did not see any fundamental indicators indicating significant weakness in the next 6-12 months. The key foundation of the current cycle remains strong, cutting-edge AI models continue to improve every few months, and demand for artificial intelligence reasoning, whether proprietary or open source models, remains strong.

On Thursday, Asian tech stocks fell, following a pullback in overnight trading with their US counterpart, highlighting the increased volatility of global tech stocks. In the Japanese market, SoftBank shares closed down 4.4%, chip equipment manufacturer Tokyo Electronics shares fell nearly 6%, and Japanese memory chip maker Kioxia shares fell more than 10%. Korean stocks, on the other hand, showed greater volatility. SK Hynix's stock price fell 10.73%, and Samsung Electronics's stock price fell 6.5%. Despite increased volatility, analysts remain optimistic about the future of the tech industry. J.P. Morgan said in a Wednesday report that the wave of sell-offs in Asian tech stocks has not disrupted the AI investment cycle. The bank emphasized that aside from stock price trends, it did not see any fundamental indicators indicating significant weakness in the next 6-12 months. The key foundation of the current cycle remains strong, cutting-edge AI models continue to improve every few months, and demand for artificial intelligence reasoning, whether proprietary or open source models, remains strong.