A sharp fall in US stocks triggered a chain reaction of declines across Asian markets. Against the backdrop of a midterm election shock, concerns over AI-related investment spread, putting the market's future direction in focus.
On the 6th, the Nikkei 225 briefly plunged ¥4,000, triggering a chain reaction of declines across Asian markets. The Dow average in New York fell by more than $1,800, or 3.44%. South Korea's market also fell more than 8%, while Taiwan's market was down approximately 9% at one point, with selling spreading across all three markets, particularly in AI-related stocks.
One view is that the sharp decline was driven by concerns that Democratic gains in the US midterm elections would lead to tighter regulation of AI investment and data centers. Some market participants referred to it as a midterm election shock, while concerns also spread over whether massive investment in AI would actually translate into profits.
The discussion compared the decline in AI stocks with the market's performance during the IT bubble, and considered whether AI stocks would follow a similar path to the previous collapse in IT stocks. With questions being raised over growth prospects dependent on AI and the market's sustainability, some pointed to the possibility that AI's ability to drive the market could weaken.
Interviews with members of the public found that many investors use NISA accounts and are focused on building assets from a long-term perspective. The number of NISA accounts is said to be approximately 28 million. Although a future market crash could affect NISA investments, investors generally appeared to place greater emphasis on a long-term investment policy.
Potential factors going forward include tighter Democratic regulation of data centers, the direction of President Trump's foreign policy, uncertainty surrounding the situation in the Middle East and tariff policy. At the same time, some believe that AI adoption will continue to expand steadily, and that share prices could stabilize if demand related to AI continues to grow.
The sharp decline could prompt a broader reassessment of risk diversification.