The Nikkei 225 index opened lower and continued to fall on Thursday, dropping below the 70,000-point threshold [1].
The decline reflects a shift in investor sentiment as markets anticipate the release of U.S. employment data for June. The sell-off is particularly concentrated in high-growth sectors, signaling a cautious approach toward artificial intelligence and semiconductor stocks that have driven recent gains.
Trading began with an initial drop of approximately 400 yen compared to the previous day [1]. As the session progressed, the downward momentum accelerated. Reports on the intraday decline vary, with some sources saying the index fell by more than 1,400 yen [1], while others reported a maximum drop exceeding 1,500 yen [3].
Market analysts said the volatility was due to widespread profit-taking. Investors are reducing their exposure to AI-related holdings to lock in gains before the upcoming U.S. jobs report, which often triggers volatility across global equity markets.
The pressure on semiconductor-related stocks was a primary driver of the slide. Because these stocks have a heavy weighting in the Nikkei 225, their decline exerted significant downward pressure on the overall index. This trend underscores the sensitivity of the Tokyo Stock Exchange to both sector-specific corrections, and macroeconomic indicators from the United States.
While the index struggled to maintain its position above 70,000 points during the session, the broader market remains focused on whether this is a temporary correction or the start of a more sustained retreat from AI valuations.
“The Nikkei 225 index opened lower and continued to fall on Thursday, dropping below the 70,000-point threshold.”
The Nikkei 225's dip below 70,000 points highlights the precarious nature of the current AI-driven rally. By selling off semiconductor stocks ahead of U.S. employment data, investors are hedging against potential economic instability. This movement suggests that the Japanese market is currently highly leveraged to U.S. labor statistics and the perceived valuation of AI technology, making it vulnerable to sudden corrections if macroeconomic data deviates from expectations.
