Recently, the Asian stock markets have experienced extreme scenarios under the influence of AI narratives: the South Korean KOSPI index surged about 14% at one point during trading, marking the largest intraday increase in history according to a single source. The Japanese Nikkei 225 index rose approximately 4% during the same period, breaking the 64000 point mark. The sharp rebound led by the technology sector reignited regional risk appetite. According to a single source, this surge in South Korean stocks is closely related to the AI-related trading frenzy driven by spending plans from large technology companies, with market optimism about future orders in sectors like memory chips being quickly priced in. In contrast, Apple recently reported third-quarter revenues of about $109.4 billion, up about 16% year-on-year, with overall performance deemed better than expected. However, due to weak revenue guidance and other factors, its stock price fell more than 4% after hours. As the technology indices in Korea and Japan rapidly recovered under AI expectations, while one of the world's most representative tech giants faced pressure after a strong earnings report, the question of how much longer this round of AI-driven trading can support Asian tech stocks has become a central topic of current market debate.

Korean Stocks Surge 14%: Chip Leaders Take the Lead

After experiencing notable declines and a pessimistic sentiment in previous days, the South Korean stock market saw an extreme reversal recently. The KOSPI index rose about 14% at one point during trading, which, according to a single source, is the largest intraday increase in the index's history, characterized by the market as a record-breaking recovery. During the same period, the Nikkei 225 index also rose about 4%, breaking the 64000 point threshold, indicating a synchronized tech-driven rebound in major Asian stock indices spurred by spending plans from large tech companies and the AI-related trading frenzy.

The sharp rise in South Korean stocks this time was driven by two major leaders in the memory chip sector. SK Hynix's stock price rose about 28% at one point, while Samsung Electronics jumped about 26%. These two companies are seen as representatives of South Korea's memory chip industry, and their stock price's violent rebound became the core driving force behind the record surge in the KOSPI index. According to a single source, the recent significant increase in the South Korean stock market is closely linked to the spending plans announced by large global tech companies, which reignited investors' optimism towards AI-related trades. Against the backdrop of substantial stock price fluctuations in previous days, SK Hynix Chairman Choi Tae-won recently made a rare direct purchase of company stock, interpreted by the market as a strong signal of confidence in the company and the memory chip industry. Coupled with external optimistic expectations regarding AI spending, this has somewhat restored investor confidence in South Korea's semiconductor sector, making this record rally largely viewed as a quick rebound from prior panic sell-offs and a repricing of confidence.

Nikkei Surpasses 64000: Asian Tech Stocks Surge in Response

During the same period when the sentiment in the South Korean market was quickly restored, the Japanese stock market also responded strongly. According to a single source, the Nikkei 225 index rose about 4% on that day, breaking the 64000 point milestone and setting a new temporary high. More importantly, this rally was highly synchronized with the KOSPI's roughly 14% intraday surge, with both indices driven by the tech sector, showcasing a typical cross-market thematic resonance—investors collectively increased their bets toward computing power, memory, and chip manufacturing chains after witnessing the AI-related spending plans announced by large tech companies.

From a sectoral structure perspective, the recent rebound in major Asian stock indices is notably concentrated in semiconductor and tech-heavy sectors, with limited contributions from non-tech heavy industries. This shows that capital is not broadly betting on a "regional recovery," but instead is concentrated around the single main line of AI. Whether it is South Korean memory chip companies or large Japanese tech stocks within the Nikkei 225, both are viewed as key vehicles in the global AI investment cycle, on one hand absorbing capital expenditure expectations from large overseas tech companies and on the other amplifying the β performance of tech weight at the index level. In a short time, this has formed a unified bet on Asian tech and semiconductor sectors, making them the most core regional positions in this AI trading structure.

Apple's Revenue Soars but Drops 4%: Guidance and China Dragging Behind

Apple's third-quarter performance report presents strong numbers: revenues of about $109.4 billion, a year-on-year increase of about 16%, with overall performance generally regarded as "better than expected." During the same period, the Asian tech and semiconductor sectors were being chased by funds due to expectations of AI-related spending. From the results, Apple has also demonstrated its ability to capitalize on AI hardware and ecosystems; at least the revenue size and growth rate for the current quarter provide data support for the narrative of "fundamentals improving."

However, its stock price fell more than 4% after hours, with the pricing focus shifting from "how well this quarter did" to "can the next quarter keep up." The company's fourth-quarter revenue guidance fell below market expectations due to memory shortages, meaning that even if there is room for AI upgrades or high-computing devices in demand, supply constraints could still suppress nominal revenue growth. Meanwhile, this quarter's revenue from the Chinese market and services business both fell short of analysts' expectations, causing investors to question Apple's ongoing growth capabilities in key regions and high-margin businesses. While the performance was better than expected, guidance and structure were weak; in an environment where AI beneficiaries like South Korean and Japanese stocks are being elevated in valuation, Apple's stock price underwent a reverse adjustment, reflecting that the market is using a more stringent perspective to assess its future growth path and profitability elasticity in the AI era.

Differential Bets Under the Halo of AI: Different Scripts for South Korean Chips and Apple

While both carry the "AI" label, the treatment of South Korean memory leaders and Apple in the capital markets is distinctly different. In the KOSPI's record rebound, SK Hynix saw its stock price rise about 28% at one point, while Samsung Electronics jumped about 26%, almost single-handedly lifting the entire index. According to a single source, this rise is related to large tech companies' AI-related spending plans, with capital concentrated on upstream computing power and memory supply companies. Conversely, during the same period, after Apple reported revenues of about $109.4 billion, up about 16% year-on-year and overall exceeding expectations, its stock price fell more than 4% after hours due to weaker-than-expected fourth-quarter revenue guidance related to memory shortages, as well as revenues from China and services falling short of expectations, contrasting sharply with the joint surge of Korean and Japanese tech stocks.

This comparison reflects a clear pricing chain: Large tech companies' AI spending plans are viewed as a direct incremental order volume for "hardware and computing power suppliers" such as servers and memory. The market can quickly discount higher capacity utilization rates, tighter supply-demand relationships, and higher price assumptions into the stock prices of SK Hynix and Samsung Electronics. However, for a "terminal ecosystem platform" like Apple, investors need to assess macro demand, regional market performance, service business momentum, and whether future AI features can generate sufficient upgrade and payment willingness simultaneously. In the context of weak revenue guidance, confidence in its ability to realize the AI story is considerably less optimistic than for upstream chip companies; this expectation differentiation has become one of the main sources of performance disparities among global tech stocks under the current AI theme.

After the Surge and the Plunge: How Long Can the AI Trading Frenzy Last?

At the same time, the South Korean KOSPI and Nikkei 225 both surged about 14% and 4% respectively on the day driven by AI sentiment, while Apple’s stock price fell over 4% after delivering strong earnings of about $109.4 billion, a year-on-year increase of about 16%. This extreme contrast essentially reflects the market's completely different pricing for "upstream computing/memory expansion" and "downstream terminal realization capabilities": the former is seen as a direct beneficiary of current AI spending plans, quickly reflecting in orders and capacity utilization as soon as spending takes place; while the latter has to prove that AI features are not just a temporary gimmick through terminal demand and payment behaviors over the next few quarters in light of weak revenue guidance, and the less favorable performance in China and service sectors. Apple is expected to undergo a leadership change soon. According to a single source, Tim Cook will be making his last earnings report as CEO, with John Ternus expected to take over in September, adding another layer of "who will implement it, and how" discount to the market regarding its long-term AI strategy, further amplifying the tension between short-term performance and long-term stories. Looking ahead, the performance of AI-related assets is more likely to depend on several quantifiable dimensions: firstly, the degree of alignment between large tech companies' AI spending and actual revenue growth rates; secondly, the efficiency with which different companies can monetize AI capabilities in their respective market segments; and thirdly, whether changes in management and capital expenditure cycles will alter the original strategic rhythm. Ultimately, how long the AI trading enthusiasm can continue will depend on the evolutionary paths of these variables over the next few quarters.

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