Taiwan Stocks Breach Half-Year Line as AI Commercialization Doubts Overshadow Cloud Expansion

The commercialization prospects of artificial intelligence have long been a focal point for investors. As large language models and automation tools mature, market concerns are rising over whether AI technology can truly translate into substantial returns. Recently, global technology stocks faced renewed selling pressure amid doubts over AI monetization. The Taiwan Weighted Stock Index also fell below 2,728.3 points in late October, losing its six-month moving average and exhibiting a clear corrective trend. This downturn not only reflects investors’ reassessment of technology companies’ cash flows and payback periods but also highlights the vulnerability of the Taiwan stock market to global sentiment fluctuations.

In the United States, cloud service providers (CSPs) continue to raise their capital expenditure budgets, indicating that demand for cloud and AI infrastructure has not yet declined. Financial reports from giants such as Amazon, Microsoft, and Google show that although revenue growth has slowed, investments in high-performance computing and data centers are still expanding. This sustained capital expenditure drives demand across the AI supply chain; however, investors are more focused on when these investments will yield tangible returns. If the commercialization cycle for AI products is too long, or if market demand fails to materialize quickly, investors will become more cautious, leading to stock price volatility.

Taiwan’s technology industry structure is similar to that of the United States, with many chip design and manufacturing firms actively positioning themselves in the AI chip and cloud service sectors. Foundries such as TSMC and United Microelectronics Corporation (UMC) have signed cooperation agreements with multiple AI companies to provide high-performance processors, while semiconductor packaging and testing firms are also expanding related equipment. Although these companies possess technical competitive advantages, investors must still focus on their revenue structures and cash flows in the short term. If AI demand growth is underestimated by the market, or if investment payback periods are extended, these companies’ stock prices will face downward pressure. The decline in the Taiwan stock market in late October is a direct manifestation of this market reassessment.

From a technical analysis perspective, after the Taiwan Weighted Stock Index fell below 2,728.3 points, it lost support from the six-month moving average, a technical indicator typically viewed as a turning point for medium-term trends. If the index can recover in the short term and reclaim the six-month moving average, it will help restore investor confidence; conversely, continued downward movement could trigger a larger market adjustment. Investment advisors point out that whether the Taiwan stock market can hold the 45,000-point level will be a key indicator for market observation. The 45,000-point mark is considered a critical psychological threshold; if it is broken and sustained upward, it will indicate long-term bullish sentiment toward AI and cloud investments. If it falls below this level, it may further weaken investor confidence in the technology sector.

In response to this market environment, investors and enterprises need to adjust their strategies. For investors, diversifying risk, focusing on corporate cash flows and payback periods, and moderately adjusting shareholdings will help mitigate losses from short-term volatility. For Taiwanese enterprises, accelerating the commercialization of AI products, diversifying revenue structures, and strengthening cost control will be key to maintaining stock price stability. If they can achieve substantive breakthroughs in AI and cloud technologies and convert them into sustainable revenue sources, they are expected to stand out in the competition among global technology stocks.

(Source: CNA)