AI-related remarks cause turmoil in the global technology sector

Recently, after the top AI company executives publicly called for a slowdown in the pace of technological development in the industry, negative sentiments quickly spread to the global capital market, and the major technology weight indices all fell. In the Asian market, the South Korean KOSPI index performed poorly, opening with a 3.3% drop. The U.S. stock market was under pressure, with the Nasdaq index opening down 0.8%. The overall risk-averse sentiment in the technology sector rapidly increased, and the phenomenon of capital flight was obvious. Different regional markets adjusted, which clearly shows the impact force of the AI cooling-down remarks on the global technology track.

The most distinctive feature of this round of tech stock adjustment was extreme differentiation. The hardware sector became the hardest-hit area in this sell-off. The U.S. stock chip sector saw a huge outflow of funds and the overall fall was particularly big. The AI software sector, on the other hand, had a completely independent trend from the hardware sector. Many software stocks experienced a rebound.

The market logic is very clear. When an industry slows down hardware research and development and controls the pace of computing power investment, it will reduce industry safety risks, which is a long-term benefit for mature AI software application enterprises. Funds shifted direction based on the market trend, fleeing from high-priced chip hardware stocks and flowing into overpriced software stocks, resulting in a stark contrast in the market trend. The morning market reversal was very intense.

Regarding the current AI sector fluctuations, various market analysts have provided completely different judgments. There is a huge divergence in industry viewpoints. Some analysts maintain a cautious and pessimistic attitude, believing that this round of adjustment will have a profound impact. If the industry truly slows down its research and development pace and reduces investment, the growth logic of AI will directly weaken. This will not only drag down the core stock market sectors but also have a profound impact on the overall economy. The stock market is likely to continue to decline.

Some analysts believe that the slowdown of AI is beneficial to human development, but it will temporarily depress stock valuation. The enterprises that are truly affected are not the leading AI companies. Even if these enterprises slow down investment and postpone listing, they still have the ability to develop steadily. The enterprises that are most severely affected are the midstream and downstream enterprises that rely heavily on AI computing power and hardware incremental expenditures.

Many analysts have also stated that this decline is only a short-term emotional speculation and there is no need to panic excessively. There is no actual data to support the judgment that the AI industry is slowing down. Just relying on the statements of a few industry practitioners has triggered the stock market correction, which is an excessive reaction of the market based on instinct. AI technology is still far from being fully mature and capable of replacing existing industries.

Some analysts have stepped away from short-term emotions and analyzed this market fluctuation from the perspective of the technological development cycle. All emerging technologies will go through this stage. In the early stage, the market was overly optimistic about the sectors, mistakenly believing that there was no upper limit to industry demand. Capital rushed in, leading to excessive supply. At this stage, even though the market demand still maintains growth, the excessive supply has begun to compress the industry's benefits. The industry naturally enters a stage of slower growth.

This round of stock market adjustment is essentially the market's early digestion of the expected industry cycle turning point. It is an inevitable result of technological development, not just a simple negative news. The three leading AI enterprises have unanimously called for industry slowdown, not to terminate industry development, but to avoid rapid expansion of the industry leading to systemic risks. The current market trading logic has changed. It is no longer betting on the explosive growth of industry demand, but screening out high-quality enterprises that can survive and achieve stable profits in the low-speed development cycle.