Tech volatility spills into Tokyo and Seoul as investors reassess AI momentum
MARKET INSIDER – Asian equities opened mixed Friday after a sharp pullback on Wall Street, where a post-earnings slump in Nvidia reignited concerns about stretched valuations in the artificial intelligence trade. The move underscores a fragile moment for global markets: strong earnings are no longer enough to sustain record highs if expectations are even higher.
Overnight, the S&P 500 slipped 0.54%, while the Nasdaq Composite fell 1.18% as chip stocks retreated. The Dow Jones Industrial Average managed a marginal gain, reflecting rotation away from high-growth tech toward more defensive sectors.
In Asia, Japan’s Nikkei 225 declined 0.6% after crossing the historic 59,000 mark a day earlier, while the broader Topix traded flat. South Korea’s Kospi dropped 1.1%, reflecting sensitivity to semiconductor flows, as Seoul-listed tech suppliers tracked weakness in U.S. peers. Hong Kong’s Hang Seng bucked the trend with a 0.68% rise, though mainland China’s CSI 300 edged lower.
Nvidia’s more than 5% slide came despite beating quarterly earnings and revenue estimates, marking its worst session since April. Investors appeared to lock in profits after an extraordinary rally, highlighting a broader dynamic: AI optimism remains powerful, but expectations have reached levels where even strong results can disappoint.
Other semiconductor names—including Broadcom, Lam Research, Western Digital and Applied Materials—also retreated, reinforcing the idea that markets are recalibrating rather than abandoning the AI narrative. With global tech valuations elevated, short-term volatility may become a recurring feature rather than an exception.
The bigger question for global investors is whether this represents a pause in the AI supercycle or the beginning of a more sustained rotation out of high-multiple growth stocks. Asia’s mixed response suggests selective positioning rather than broad risk aversion.
As earnings season progresses, markets are demanding not just growth—but acceleration. In the AI era, beating estimates may no longer be enough.