The Hang Seng Tech Index has shown a strong recovery after hitting a low of 4,229 points on June 26, posting gains for two consecutive weeks with a cumulative increase exceeding 10%. On July 8 alone, the index surged 4.97%, following a 5.72% rise the previous week, marking its largest weekly gain so far this year.
Analyzing the Market Rebound
Is this recent surge a "technical rebound from oversold conditions" or the start of a genuine "trend reversal"? With valuations currently low, does this represent a "golden opportunity" or a "value trap"? Which specific sectors warrant close attention in the second half of the year?
Fund managers widely attribute this rebound in the Hang Seng Tech Index to a confluence of factors, including a valuation bottom, renewed southbound capital inflows, and AI-related catalysts. While current valuations are attractive, they caution that it is not an indiscriminate "bargain-hunting" opportunity. Some managers view it as a mid-term bottom repair, while others warn it may merely be an "oversold rebound," with a true reversal requiring further confirmation.
Drivers Behind the Rally
The primary drivers for the index's sharp rise are seen as improved macro liquidity, accelerated AI commercialization, and supportive fund flows. In early July, southbound capital recorded two consecutive days of net inflows nearing HK$250 billion, coupled with a global shift in capital allocation styles, providing strong momentum for the sector. The recent upward trend in the Hong Kong market is likely not just a simple "technical rebound from oversold levels" but a confirmation of a "mid-term bottom repair."
A sustained reversal would depend on several key signals: AI commercialization shifting from a "cost focus" to "revenue generation"; sustained improvement in the core business profitability of internet giants; and a firming of expectations for accommodative policies from the U.S. Federal Reserve.
Core drivers include "oversold repair, industry catalysts, and capital repatriation." After extreme valuation compression in June, fundamentals did not deteriorate. In early July, the factors that had been suppressing the market began to reverse: crowded AI trades overseas showed signs of unwinding, capital rotated away from high valuations; domestic AI industry catalysts materialized; and southbound capital flows clearly turned positive.
The rally's core drivers are seen as a technical rebound following prior overselling, coupled with a short-term recovery in risk appetite and capital inflows. Confirming a reversal would require observing sustained net inflows from southbound capital, a significant expansion in trading volume, stabilization in earnings from internet giants' financial reports, and accommodative macro liquidity. These signals have not yet converged, and more fundamental validation is needed.
This rebound results from the resonance of a valuation bottom, improved liquidity, and the diffusion of the AI narrative. To confirm a "trend reversal," several core signals need monitoring: whether southbound capital inflows are sustained rather than a short-term pulse; whether subsequent AI industry catalysts continue to materialize and, crucially, reflect in corporate earnings; and the impact of the Federal Reserve's policy direction on the overseas liquidity environment.
The view leans towards this being a logically supported technical rebound from oversold conditions, primarily driven by short covering. Whether it marks a trend reversal still requires observation. It is premature to call a trend reversal; validation is needed regarding whether there is a substantive improvement in overseas liquidity expectations and whether earnings expectations have stopped declining and begun to recover.
Valuation and Investment Opportunities
The Hang Seng Tech Index's valuation is currently low, highlighting potential opportunities. The index previously fell to levels near its 2024 low, with a trailing P/E ratio around 21.7x, indicating ample valuation safety margin. This compression was not due to deteriorating fundamentals but rather a deterioration in fund flows attributable to its offshore market characteristics: foreign capital outflows due to geopolitical factors, and a general withdrawal of southbound capital in the absence of positive market trends rather than internal rotation, leading to a broad-based "mis-selling." From a rebalancing perspective, with oil prices having returned to pre-geopolitical conflict levels from early March, the low P/E and low percentile valuations may have fully, or even excessively, reflected pessimistic expectations. The potential for further significant declines may be limited, making left-side accumulation opportunities worth considering.
The Hang Seng Tech Index's current P/E is around 20x, placing it at a historically low percentile. Superficially, this appears to be a "bargain" moment, but it is crucial to differentiate within the sector's structure. For major internet platforms, there is a certain risk of a value trap. Global AI large language models have already formed a strong substitution impact on traditional software and some internet platforms, with uncertain profit prospects. While low valuations may have partially reflected pessimistic expectations, the AI landscape is changing rapidly, and the fundamentals of leading companies have not fully stabilized. Conversely, hardware technology companies within the sector, due to significant discounts of H-shares relative to A-shares coupled with explosive demand for AI computing hardware, present relatively good investment opportunities. Overall, this is not a moment for indiscriminate "bargain hunting." Close tracking of AI developments and corporate earnings reports remains necessary to carefully identify structural opportunities.
After previous deep adjustments, the Hang Seng Tech Index's valuation has retreated to a historically low range. Its recent rolling P/E ratio is approximately 23x, sitting at the 38th percentile over the past decade. Combined with the consecutive corrections caused by the earlier AI "siphoning effect," this has established a low valuation level, providing ample safety margin and room for valuation repair, attracting capital to buy on dips.
From a medium-to-long-term perspective, the Hang Seng Tech Index has entered a period of relatively high cost-effectiveness for allocation. However, from a short-term event perspective, frequent changes in Federal Reserve rate hike expectations affect the pace of international capital increasing allocations to Hong Kong stocks. Investors should participate based on their own risk tolerance and investment horizon.
The current low valuation is an objective fact, but "cheapness" alone is not a sufficient condition for buying. The key is whether the factors causing the cheapness are undergoing positive changes. The Hang Seng Tech Index's persistent underperformance means concerns about the consumer nature of its constituents, insufficient domestic demand, and intensified competition have already been priced in. Simultaneously, expectations for overseas liquidity tightening are likely reflected in stock prices. In other words, from a marginal perspective, as long as these suppressing factors do not worsen or even show slight improvement, there is hope for triggering valuation repair.
Currently, the core issue is whether low valuations can be repaired by both earnings and liquidity. Recent earnings expectations have shown signs of stabilization, which is one prerequisite for the rebound. However, whether this represents a "complete reversal" or a "value trap" hinges on the core divergence: whether AI can open up new growth space. If internet giants can prove that their AI investments can be effectively translated into earnings growth, enabling a valuation system switch from traditional "consumer internet" to "AI tech," the current undervaluation may indeed be an opportunity. Conversely, if AI consistently fails to deliver profits, the room for valuation repair may be relatively limited. The inclination is towards the former, but close attention to earnings realization is still required.
The Hong Kong stock market's valuation discount is a common topic; cheapness alone does not constitute a sufficient reason for a rise. Based on absolute valuation, horizontal, and vertical comparisons, the current low valuation is believed to have largely factored in pessimistic expectations of earnings downgrades and tightening overseas liquidity expectations.
Whether it is a "value trap" depends on whether earnings expectations can find a bottom. Since the second quarter, domestic economic growth momentum has marginally slowed. If subsequent policies to stimulate domestic consumption and demand take effect, leading to stabilized expectations for advertising, e-commerce, and other businesses, the current low valuation possesses mean-reversion potential.
Shifting Valuation Logic
Can the valuation logic of the Hang Seng Tech Index shift from "consumer internet/platform economy" to "AI cloud + applications + domestic computing power"?
Looking at the U.S. market experience, AI large language models have a strong substitution effect on traditional software companies and even some internet platforms. For the Hong Kong internet sector, this brings more valuation pressure than rapid profit realization. Consumer internet and platform economy models face AI-driven restructuring, potentially impacting core businesses like user engagement and advertising. The shift in the Hang Seng Tech Index's valuation logic from "consumer internet/platform economy" to "AI cloud + applications + domestic computing power" is not smooth. Currently, the sector is still dominated by traditional internet giants. The proportion of AI-related revenue and the pace of commercialization need time to verify, and the transition process may involve growing pains. Continuous tracking of leading companies' actual progress in AI models, cloud services, and applications is necessary. Currently, the valuation shift still faces significant pressure, with opportunities and challenges coexisting, requiring dynamic observation.
For Hong Kong internet stocks, AI has the potential to expand valuation space in the short term, while profit realization in the long term could bring new growth. Since the "DeepSeek moment," the Hang Seng Tech Index has opened up valuation space for internet technology. Hong Kong internet companies, with their rich application scenarios, massive data, and user ecosystems, are becoming core vehicles for AI commercialization. Combining large models with applications to improve advertising efficiency, growth in cloud computing revenue, and providing computing power services for AI applications are all visible monetization paths. Furthermore, the index composition is also being optimized, with "AI content" significantly increasing, better reflecting this trend.
This transition process still requires time for validation. The Hong Kong market is also becoming one of the few public markets globally where investors can directly participate in AI model and application targets, a positioning that inherently contains opportunities for value re-rating.
At this stage, for Hong Kong internet stocks, AI is more reflected as rising capital expenditures—increased depreciation and amortization—leading to short-term pressure on free cash flow and profits. The market is granting a "valuation option," meaning valuation premiums are supported by model capability breakthroughs and clear commercialization paths rather than immediate profit contributions.
However, from a medium-to-long-term perspective, reviewing the mobile internet era shows that profit realization is necessary to complete the commercial loop, which is also the ultimate goal of internet companies' AI investments. A shift in valuation logic depends on providing the market with clear capability verification. Considering China's engineer dividend, cost efficiency advantages from a complete industrial chain, and the ecosystem moats of large companies, there is significant anticipation for this, but it may be a slow-moving variable.
The "AI content" within the Hang Seng Tech Index constituents is increasing. The proportion of hardware and foundational computing power companies will gradually rise. This change represents a structural optimization to adapt to the core global trend of the AI industry shifting from "application imagination" to "hardware profit realization." Hong Kong internet stocks are transitioning from the early "traffic competition" phase to genuine "capability and ecosystem realization." Currently, the activity level of China's AI application ecosystem is accelerating, with large model call volumes repeatedly hitting new highs. The valuation logic of the Hang Seng Tech Index is also gradually changing. As the entire market becomes increasingly reliant on AI, its impact on Hong Kong internet stocks will gradually manifest as valuation uplift and profit realization.
For Hong Kong internet companies, AI is expected to bring valuation uplift in the short term, with a gradual transition towards profit realization in the medium term. Hong Kong internet companies possess three advantages: scenarios, data, and ecosystems, making them core vehicles for AI commercialization. Recent signals, such as MoE iterations in large models reducing inference costs, payment platforms opening up agent access to merchants, and financing for short-video platform AI subsidiaries, indicate that AI is accelerating its diffusion from the hardware theme to the application layer. The valuation logic is shifting from traditional traffic-based valuation to a re-rating based on AI scenario value. This shift is feasible because the business scenarios of Hong Kong tech companies naturally align well with AI applications. Areas like cloud infrastructure and enterprise service SaaS have already begun to reflect incremental value.
Future Allocation Focus
Looking ahead, the AI theme remains the focal point for allocation. In terms of specific directions, these include: AI large models and applications like intelligent driving; hardware infrastructure such as semiconductors and domestic computing power; and innovative drugs and new energy vehicles with new overseas growth momentum after negative factors have been fully priced in.
For the second half of the year, three directions are favored: Enterprise service SaaS and cloud infrastructure, which directly benefit from the diffusion of the AI application layer and domestic computing power demand; AI application platforms with scenario and data moats; and Hong Kong-listed hard tech assets, such as semiconductor chips.
First, AI tech hardware and the domestic computing power chain, where computing power and semiconductor sectors have strong visibility in their uptrends and concentrated upward revisions in earnings expectations, though they are subject to short-term volatility influenced by overseas market correlations. Second, re-rating opportunities for internet platforms, focusing on leading internet companies that are advancing agent product commercialization based on their ecosystems/data/user base, especially as competitive "anti-involution" dynamics ease. Key aspects to watch are model capability evolution and cloud business profitability.
The overall allocation approach for the Hang Seng Tech Index sector leans towards the AI infrastructure hardware direction. Although software and internet platform companies hold a high proportion within the Hong Kong tech sector, based on the current development stage of AI, the hardware segment is more directly benefiting from the global surge in computing power capital expenditures.
There is greater optimism for hardware supply chain companies in areas like AI servers, semiconductors, optical components, power management, and thermal solutions. These fields have high order visibility and significant earnings elasticity. In contrast, pure internet platforms face AI disruption risks, warranting a cautious stance in allocation, with a focus on selecting targets with substantive progress in AI applications or cloud businesses. The second half of the year will concentrate on the "AI hardware + import substitution" theme, leveraging the valuation discount advantage of H-shares relative to A-shares to uncover cost-effective investment opportunities.
Currently favored directions include: AI applications and cloud services with rich application scenarios and massive user bases, which are expected to benefit from operational efficiency improvements and enhanced monetization capabilities; the rapid growth of AI cloud service revenue is also a key point. Leading companies at the forefront of large model research and development and domestic computing power deployment, possessing strong foundational AI capabilities. Leading companies in niche sectors that are at a valuation bottom with solid fundamentals, whose core businesses have built "moats," supported by strong cash flows and share buybacks, offering safety margin and recovery elasticity.
Key Signals and Risks to Monitor
For the Hang Seng Tech Index's future performance, the most closely watched "signal lights" include: whether southbound capital can form a trend of repatriation rather than short-term pulses; the pace of realization for AI industry catalysts, especially large model iterations and specific application scenario rollouts; and guidance from the July Federal Reserve FOMC meeting regarding overseas liquidity expectations. Current valuations remain at historically extreme lows, with no signs of fundamental deterioration. Any adjustments are more likely to be technical consolidation following a short-term consecutive rise.
The most concerning risks are: geopolitical tensions resurfacing causing oil prices to spike again, disrupting the capital rebalancing process; AI industry catalysts falling short of expectations, failing to realize the valuation re-rating logic; and a further deterioration in overseas liquidity expectations, with a stronger U.S. dollar exacerbating capital outflows.
The most attention is paid to changes in fund flows and the fundamental progress of internet giants. This specifically includes the direction of southbound capital flows, the activity level of Hong Kong stock trading, and whether pressure from major shareholder减持 and the pace of new share listings ease. Simultaneously, tracking quarterly financial reports of major internet companies, particularly the proportion of AI business revenue, profit guidance, and large model progress. If the market corrects again, accompanied by capital回流 and fundamental improvement, it could present a good buying opportunity. If fundamentals continue to deteriorate or AI progress falls short of expectations, it could signal a false trend.
In the short term, the mid-year earnings reports are the primary focus. The actual effect of AI technology on improving business efficiency, the recovery of core business profitability, and future guidance are key variables for the market to transition from valuation repair to a trend reversal.
The most vigilant risks currently are twofold: First, AI investments continue to erode cash flow and profits, with commercialization falling short of expectations, or weak recovery in core businesses and deteriorating competitive landscapes leading to mid-year earnings below expectations, potentially disproving the valuation repair logic. Second, overseas liquidity risks; the Federal Reserve's monetary policy path remains unclear. If inflation resurges leading to renewed expectations of rate hikes, it could create liquidity pressure on Hong Kong's offshore market.
The Hang Seng Tech Index's future performance is jointly determined by earnings, valuation, and liquidity. The ideal scenario is resonance among all three, but the probability of such resonance occurring currently is not high. On the earnings front, watch domestic growth-stabilizing policies. On the valuation front, monitor the iterative progress of leading internet companies' large model capabilities and agent monetization. On the liquidity front, observe the Federal Reserve's monetary policy path and the "capital drainage" pressure from Hong Kong IPOs and refinancing. Marginal changes in industry regulatory policies are also variables that the Hong Kong tech sector needs to monitor continuously.
Besides the aforementioned indicators, short-term market changes also warrant attention. As the second-quarter earnings reporting season approaches, index constituents may be affected by financial reports from internet giants, particularly whether AI businesses can bring real profit realization. If the market adjusts again in the future, given the low valuation environment, it could still present a good opportunity for accumulation on dips for medium-to-long-term investment mechanisms.
Future concerns include: overseas macro liquidity tightening beyond expectations, leading to sustained foreign capital outflows; and an escalation of geopolitical friction, suppressing market risk appetite.
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