Global technology stocks have recently experienced a sharp sell-off. As of July 28, the Philadelphia Semiconductor Index had fallen approximately 21% from its June 22 peak, while the Nasdaq 100 dropped over 10% in 38 trading days. NVIDIA (NVDA.US) fell nearly 5% on July 27, and SK Hynix and Samsung have corrected approximately 50% and 41% from their June highs, respectively. A fund manager suggests that short-term volatility may persist until the earnings reporting window for overseas Cloud Service Providers (CSPs).
The core focus for Microsoft (MSFT.US), Meta Platforms (META.US), and Amazon (AMZN.US) this week is whether their guidance for AI capital expenditure and data center construction in 2026-2027 remains robust. If these hard metrics continue to be delivered, global tech sentiment could gain more solid support. The manager notes that against a backdrop of falling US Treasury yields and oil prices, and a marginal easing of macro constraints, semiconductor-related headlines have been interpreted negatively by the market. This, combined with cautious buying ahead of July 30, has meant that relatively small selling pressure has driven significant declines in AI hardware prices. The Philadelphia Semiconductor Index weakened overnight, with NVIDIA and memory leaders under pressure simultaneously, leading to a contraction in global technology risk appetite.
The core contradiction of this round is the market's re-evaluation of the sustainability of financing for AI capital expenditure and its return path; high leverage and crowded positions have amplified price elasticity. So, has the industry trend been proven false? Looking back at history may offer a more objective reference point.
Historical Context: Deep Pullbacks in Major Uptrends Are Not Uncommon
Netscape's initial public offering on August 9, 1995, is widely regarded as the beginning of the commercial internet era. From that date until the Nasdaq peak on March 10, 2000, the Nasdaq index rose approximately sevenfold, while the Philadelphia Semiconductor Index gained about fourfold. However, this brilliant uptrend was not a smooth path. During this same period, the Nasdaq 100 experienced 12 pullbacks of more than 10%, and the Philadelphia Semiconductor Index underwent 9 such corrections. These pullbacks were mostly triggered by external credit events or position shocks, rather than a fundamental destruction of the industry's logic. In each case, after capital expenditure and earnings verification were restored, the indices returned to their trend channels. The historical lesson is that sharp declines alone are insufficient to disprove an industry trend; what truly determines medium-term pricing is whether demand and returns can be continuously verified.
Current Situation: Fundamentals Remain Unchanged, Key Anchor Still in CSP Guidance
A clearing out at the trading level can coexist with solid industry fundamentals. The current selling pressure primarily reflects a repricing of positions and financing structures, rather than a systemic reversal of orders and construction pace. Capital expenditure on data centers by hyperscale cloud vendors remains high, and demand for AI training and inference has not seen a material decline. Based on company performance and guidance, total capital expenditure forecasts for the six largest hyperscale cloud companies for the 2026 fiscal year have reached $849 billion. Alphabet (GOOGL.US) has revised its full-year 2026 capital expenditure guidance up to $195-205 billion and explicitly indicated "significant growth" in 2027. Short-term volatility may persist until the earnings reporting window for overseas CSPs. The core focus for Microsoft (MSFT.US), Meta Platforms (META.US), and Amazon (AMZN.US) this week is whether their guidance for AI capital expenditure and data center construction in 2026-2027 remains robust. If these hard metrics continue to be delivered, global tech sentiment could gain more solid support.
Investment Strategy
In the short term, leverage and concentration still need to be digested, and volatility may continue until the results of major US Cloud Service Providers like Microsoft and Meta are released. In the medium term, pricing will depend on the verifiability of AI infrastructure demand and returns, with the weight of a single financing arrangement or individual news event being limited. As the 12 corrections of the internet era showed, sharp declines during a trend are not what is frightening; what is frightening is ignoring fundamental facts during a trough in sentiment. From a positioning perspective, funds with a balanced exposure to both software and hardware are well-suited for tracking the global AI theme during the CSP rebalancing process. Funds focused on the Asian manufacturing and memory segments are appropriate for participating in the staged recovery of the semiconductor chain after a sharp decline. It is best to combine volatility with phased deployment, deemphasizing daily fluctuations, and using time to exchange for the certainty of industrial growth.
Comments