Global equity markets have notably weakened recently, with the sell-off intensifying following the release of the US non-farm payrolls data last Friday.
Major US indices like the S&P 500 and the Nasdaq 100 experienced some of their more significant declines this year, though the Dow Jones Industrial Average saw a relatively smaller drop. The nature of this sell-off suggests a "beta-style decline," indicating heightened market concern over potential systemic risks.
Meanwhile, the Hong Kong market, which has been weak since the start of the year, continues its downtrend, with both the Hang Seng Index and the Hang Seng Tech Index remaining under pressure.
This analysis will focus on two primary market narratives to help investors understand the current environment.
Key Market Drivers
The first driver is renewed market anxiety regarding the trajectory of US interest rates. The robust non-farm payrolls data indicates the US economy retains considerable resilience, with the labor market showing no significant signs of weakening. This inflationary pressure has led investors to refocus on the possibility that the Federal Reserve may need to maintain higher interest rates for a longer duration.
As of June 9, interest rate futures from the Chicago Mercantile Exchange show the market is beginning to entertain the possibility of a rate hike by year-end. For markets, the primary concern is not simply a "too strong" economy, but the lingering risk of stagflation—where growth does not decelerate significantly, yet inflationary pressures could re-ignite due to rising energy and transportation costs.
The second driver involves recent mixed signals from the AI supply chain, casting short-term doubt on what had been a highly concentrated growth narrative. Financial statements from major tech giants like Microsoft (MSFT.US), Alphabet (GOOG.US), Meta Platforms (META.US), and Amazon (AMZN.US) reveal they spent $410 billion on capital expenditures last year, with the latest corporate reports projecting this figure to surge to approximately $670 billion this year.
However, a recent report from JPMorgan noted that the commencement and construction progress of some data center projects are slower than market expectations. Concurrently, market attention turned to the memory configuration of Nvidia's new products, which was reportedly reduced from initial plans. These developments naturally led investors to worry whether the pace of AI infrastructure investment is beginning to slow, even questioning if a turning point has been reached for the high-growth story of AI-related stocks.
The combination of these two factors has been the primary trigger for the recent market correction. However, from a fundamental perspective, it may be premature to become overly pessimistic about the outlook for risk assets at this stage.
Market Interpretation: Negative News is Being Digested
Firstly, the market's initial reaction to the configuration changes in Nvidia's new products may have been an over-interpretation and does not necessarily equate to weakening demand. A more reasonable interpretation is that the core bottleneck currently remains tight memory supply. The company's adjustment to configurations is likely more about helping customers reduce Total Cost of Ownership (TCO) while retaining future upgrade flexibility.
In other words, this is not a story of declining demand, but rather one of demand remaining very strong, with customers opting to deploy platforms first and then gradually upgrade configurations. Viewed from this angle, these changes reflect the continued rigidity of demand for AI computing power, rather than a reversal of the industry's fundamental logic.
Secondly, while the non-farm payrolls data itself triggered a market re-pricing of rate hike risks, the underlying macro backdrop it reflects is that the US economy remains relatively robust. The unemployment rate holding around 4.3% indicates the labor market has not deteriorated significantly. Furthermore, the sources of the latest month's job growth were partly concentrated in travel-related sectors, potentially linked to large-scale sporting events like the World Cup and seasonal demand.
This suggests that the market's current real concern may not be an economic slowdown, but rather the possibility that inflation could rebound due to external factors while the economy remains resilient. The current sources of rate hike risk are primarily concentrated in two areas: surging energy prices and transportation costs, which are key indicators reflecting geopolitical risks.
Regarding AI infrastructure, recent news of slower-than-expected project progress is not without basis. In a high-interest-rate environment, capital expenditure pressures for large-scale infrastructure, data centers, power, and supporting facilities are indeed significant. Project payback periods can be extended, inevitably dragging on construction and investment progress. In the short term, these factors will unavoidably impact market sentiment.
However, it is more noteworthy that these pressures are largely still driven by the direction of interest rates, which remain elevated partly due to stagflation risks. The root of these stagflation risks, in turn, stems significantly from geopolitical factors, particularly disturbances in energy prices. Therefore, if geopolitical risks gradually ease in the future, leading to a retreat in energy and shipping pressures, inflation expectations could cool, market concerns about further rate hikes would likely diminish, and risk appetite would have an opportunity to recover.
This is also why interpreting the interest rate futures market requires caution at this stage. Interest rate futures reflect the market's latest pricing of the policy path based on the current environment. However, if the key variables driving rate hike expectations are external factors—such as geopolitics and energy prices—then any easing in these factors could lead to a rapid adjustment in the entire interest rate outlook. The market is currently trading on the possibility of "rising risks," but this logic itself remains highly variable and may not be suitable for linear extrapolation.
It is worth noting that some marginal positive signals are beginning to emerge from market observations. For instance, prediction platforms suggest a significant portion of market participants anticipate the situation around the Strait of Hormuz could gradually normalize before year-end. If such risks subsequently subside, it would theoretically ease pressure on energy supply, shipping costs, and overall inflation expectations. While such signals may not be sufficient to immediately reverse market sentiment, they at least indicate that the most pessimistic stagflation narrative may not necessarily continue to worsen.
Overall, the recent market decline appears to be more of an emotional adjustment triggered by a combination of valuation pressure, interest rate concerns, and short-term noise in the AI industry, rather than representing a fundamental, broad-based shift. AI demand itself shows no signs of a substantial reversal yet, with a higher probability that it is merely a case of supply constraints and adjustments in investment timing. On the macro front, it remains necessary to observe whether energy prices, transportation costs, and geopolitical developments will further push up inflation expectations.
In the period ahead, whether the US 10-Year Treasury yield can break above 4.7% and set a new 52-week high will be a crucial market indicator. A sustained rise in long-term bond yields would suggest the market still believes inflation and high-interest-rate pressures will persist, implying that short-term volatility in risk assets may not be over. Conversely, if bond yields do not spiral out of control further and geopolitical risks gradually subside, market risk appetite could stabilize, and this round of adjustment may not evolve into a deeper, fundamental downturn.
Short-term market conditions may remain unsettled, but the more important task at this stage is to distinguish between sentiment-driven amplification and genuine fundamental changes. Based on current observations, the market is re-pricing for uncertainty but has not necessarily entered a phase of structural deterioration.
Investment Considerations
While short-term market sentiment remains influenced by interest rate expectations and AI-related noise, from a medium- to long-term perspective, the structural growth logic of the technology industry remains intact. In particular, AI computing infrastructure, as a core driver of global tech development, relies on the semiconductor supply chain, which remains the most critical link in the entire industry chain.
During this market adjustment, valuations for some high-quality Asian semiconductor companies have retreated, potentially offering investors a window for strategic positioning. In this context, the E Fund Asia Semiconductor ETF (03486) warrants investor attention.
As an ETF product focused on Asia's semiconductor industry, the E Fund Asia Semiconductor ETF primarily invests in competitive semiconductor companies across the region, covering key areas such as wafer foundries, memory, power semiconductors, advanced packaging and testing, and AI-related chip design. According to data, as of June 8, key constituents of the ETF, including SK Hynix, Hua Hong Semiconductor (01347), ASMPT (00522), Taiwan Semiconductor Manufacturing (TSM), SMIC (00981), and Lenovo Group (00992), recorded gains ranging from 2% to 9% on June 9.
Compared to investing in a single market or stock, the E Fund Asia Semiconductor ETF offers a convenient way to gain diversified exposure to the Asian semiconductor sector. This approach can help investors capture the long-term growth opportunities driven by AI computing demand while buffering against volatility risks associated with a single region or company. Under the ongoing global trend of sustained capital expenditure in AI, Asia's strategic position as the world's most important semiconductor manufacturing base remains solid, underpinning its long-term investment value.
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