Since early November, the global technology, AI, and semiconductor sectors have experienced a synchronous pullback, with market sentiment shifting from “overweight technology” to “selective allocation.” This year’s correction has both endogenous reasons related to valuation adjustments and exogenous shocks from macroeconomic and financial factors. This analysis unfolds along three main lines: valuation repricing, demand-side rhythm, and supply-side structure. The contraction of short-term risk appetite and changes in capital flows in the global market have been confirmed by multiple media and institutions. Investors should focus on “rhythm management,” transforming volatility into a window for certain positioning.
Valuations of Several Typical Global Technology/Semiconductor Companies
NVIDIA’s valuation has long been regarded by the market as synonymous with the “AI theme.” Over the past two years, the market has already factored in expectations for AI capital expenditures and profit margins for the coming years into its stock price. Therefore, any slight deviation in server procurement rhythm, customer supply chain replacement news, or quarterly guidance will be amplified into triggers for price fluctuations. In the short term, the market is awaiting the company’s next quarter performance and order penetration data, which are key signals determining whether the valuation can maintain its premium. Strategically, NVIDIA is more suitable as a “long-term core” allocation in a portfolio, but it requires acceptance of higher volatility and a phased investment approach based on event triggers (such as performance confirmations, order disclosures, or macro liquidity improvements as key nodes for additional investments).
AMD has secured strategic order commitments from major clients like OpenAI in the second half of 2025, and such event-driven positives are significantly reshaping market expectations for its future revenue scale. The multi-gigawatt supply agreement between OpenAI and AMD not only promises revenue increments but also brings strategic customer binding and long-term order visibility, greatly enhancing AMD’s valuation elasticity. However, it must be noted that such large orders come with milestone conditions and delivery rhythm risks, making the path to valuation realization more dependent on execution and technological delivery rhythm. For investors, AMD is considered an “event-driven” target: increase allocation when milestones are achieved and verifiable data on initial deliveries appear; if execution delays occur or customer diversification fails, a quick reduction or reassessment is necessary.
As the cornerstone of wafer foundry, TSMC’s long-term moat comes from its advanced process capabilities, customer stickiness, and ecosystem effects. The company raised its full-year revenue guidance for 2025 and maintained high capital expenditures, indicating sustained demand from AI and data centers for its high-end capacity. However, TSMC is also significantly exposed to cyclical fluctuations in end electronic products, with asynchronous demand from smartphones, PCs, and automotive electronics directly reflecting on its capacity utilization and price elasticity. Strategically, TSMC is more suitable as a component of a “long-term stable position,” and the portfolio should adopt a dollar-cost averaging and smooth accumulation approach to hedge against short-term cyclical shocks.
ASML’s near-monopoly position in the high-end lithography machine sector places it on the benefiting end of long-term supply chain restructuring and foundry elevation processes. Recent financial reports and industry showcases indicate that the company is still improving the delivery rhythm of next-generation products like High-NA EUV, with financials and order books continuously improving, supporting its long-term growth expectations. However, lithography machine companies are also affected by the capital expenditure rhythm of foundries, and short-term stock price fluctuations do not necessarily indicate changes in demand direction. For institutional investors, ASML is one of the top choices for “defensive growth” and “long-term technology infrastructure” allocation.
Intel and Samsung: Value Reassessment and Cyclical Investment Opportunities
Intel’s restructuring and capacity expansion strategy make it a “value + reconstruction” type of target. If the company achieves continuous progress in advanced process output and customer orders, there is potential for long-term valuation reassessment. Samsung, covering memory, foundry, and end markets simultaneously, serves as a good tool to hedge against single-segment risks, but the cyclical nature of memory prices has a more significant impact on its profitability. For such companies, the strategy should lean towards increasing allocation when signals of “visible inventory decline and price recovery” appear, and moderately cashing out at cyclical peaks.
The Current Situation and Structural Judgment of the A-share/Asia-Pacific Technology Sector
Short-term Volatility Driven by Capital Flows and Sentiment
Against the backdrop of the global technology sector pullback, the A-share and Asia-Pacific markets exhibit a stronger emotional amplification effect. Northbound capital and foreign capital flows often act as amplifiers in the short term: when external liquidity contracts or risk aversion rises, foreign capital outflows accelerate the decline of local tech stocks. Conversely, when international capital flows back or clear policy support emerges, the sector often shows higher elasticity. Recent data indicate that the pace of global capital inflows into technology has slowed, but there are also rapid return windows within the cycle, requiring investors to grasp both short-term signals from capital flows and the medium-to-long-term rhythm of fundamentals when assessing positions.
Bidirectional Impact of Policy and Industry Support
Domestic and other Asia-Pacific economies are continuously ramping up policy support in the semiconductor and AI fields, with local and national industrial funds, subsidies, and project approvals enhancing the speed of domestic supply chain construction. However, policy support cannot immediately replace technological accumulation, and in the short term, challenges such as insufficient localization rates of equipment and maturity of materials and processes still need to be faced. Therefore, the long-term allocation opportunities brought by policies are real, but the investment rhythm should be based on “policy realization paths” and “technology/order visibility,” rather than relying solely on “slogans” or “news” for heavy bets. Industry research by KPMG and Deloitte shows that companies are concerned about uncertainties regarding talent and geopolitical issues, which are long-term challenges that the domestic semiconductor industry needs to address.
Structural Differentiation Within the Industry
The Asia-Pacific region is not a single sector; there are significant differences in driving logic among internet platforms, AI infrastructure, and semiconductor manufacturing. Internet platforms have stable profits and cash flows but declining growth elasticity, while AI infrastructure and semiconductor manufacturing are still in high growth but high investment phases. Investors need to adopt differentiated strategies for different subfields: for platform types, a long-term holding driven by valuation/profit; for hardware and foundry, an event-driven allocation based on capital expenditures, orders, and inventory rhythms. Overall, the Asia-Pacific region remains the core of the global supply chain in the long term, and structural opportunities have not gone far, but in the short term, higher stock selection and rhythm discipline are needed to avoid systemic volatility.
Specific Entry Timing, Positioning, and Risk Control Mechanisms
Rhythmic Positioning: Turning Volatility into Cost Advantages
At this stage, the most practical strategy is rhythmic positioning rather than timing the market for full entry. Specific actions should include three main phased positioning actions: the first position should be established when the market pullback is confirmed but the fundamentals have not changed significantly; the second increase should occur when macro or industry data confirm that deterioration is no longer occurring and liquidity improves; the third should be to fill positions when clear positive triggers appear (such as confirmation of key customer orders, entry of policy funds, or significant inventory recovery). The purpose of this approach is to break down the time dimension of uncertainty into manageable small steps, thereby gradually reducing the average holding cost and controlling the risk exposure of each entry in a volatile market. The operational logic for companies like NVIDIA, AMD, and TSMC can be directly mapped to this rhythmic framework.
Positioning Framework: Defining Risk Budget from a Portfolio Perspective
When constructing a portfolio, the first step is to define the target allocation of the overall technology/semiconductor sector within investable assets. For individuals with a neutral risk preference, it is recommended to control the total allocation in this sector within the range of 15%–30%, depending on overall risk tolerance. The portfolio can be further divided into “long-term core,” “flexible allocation,” and “high-risk tactical” parts, where the long-term core assumes stable returns and defensive functions, flexible allocation sources excess returns, and high-risk tactical is used for short-term capture of event-driven opportunities while strictly controlling positions and stop-losses. The purpose of this framework is to achieve orderly acquisition of returns amid uncertainty and to reduce systemic losses caused by single events through portfolio diversification.
Risk Control Rules: Institutionalized Execution of Stop-Loss, Take-Profit, and Rebalancing
Disciplined risk control is key to managing high-volatility technology assets. It is recommended to establish clear and automatable stop-loss and take-profit rules: if a single stock declines more than 20% and is accompanied by fundamental deterioration, it should trigger a reduction or stop-loss review; if a single stock accumulates a rise of more than 40%–60%, profits should be locked in in phases and defensive positions in the portfolio should be replenished. Additionally, a mandatory rebalancing mechanism (e.g., quarterly) can avoid non-systematic risks caused by long-term bias towards a particular sub-sector. Rebalancing and stop-loss/take-profit rules should be linked to research reports, valuation models, and event calendars to maintain the foresight and flexibility of strategies in systematic operations.
Conclusion: The current pullback in global technology and semiconductors presents two concurrent opportunities: one is a window to allocate long-term quality assets at lower costs, and the other is tactical opportunities to capture short- to medium-term excess returns through event-driven strategies. The core of investment remains rhythm management and disciplined execution, rather than relying on intuition to speculate on short-term market movements. AI infrastructure and advanced processes remain the most worthy themes for allocation, but strict reliance on fundamental data, order visibility, and liquidity signals is essential when choosing entry and exit points.