NEXT PICK · Market Insights
2026 Technology Investment: Double Tapping AI and Semiconductors
Monday, February 9, 2026
With the technological cycle's shift, the technology sector will show structural differentiation in 2026. The explosive demand for AI computing power and the accelerated domestic substitution of semiconductors form a dual main theme, and investors need to pay attention to value revaluation opportunities in the core upstream segments of the industry chain.
After the valuation digestion of 2022-2024, the global technology sector is now standing at the starting point of a new industry cycle. As the Federal Reserve's monetary policy shifts to greater certainty, the discount rate pressure on growth stocks has marginally eased, and the allocation value of technology sectors has gradually become more prominent. Especially under the dual drivers of the AI revolution and the semiconductor industry cycle bottoming out and rebounding, 2026 is expected to become a key window for technology investment.
From a historical perspective, 2026 holds special significance for technological cycles. On one hand, generative AI will gradually transition from infrastructure investment to application implementation, profoundly changing the computing power demand structure; On the other hand, after inventory clearing in 2023-2024, the semiconductor industry is expected to enter a 2-3 year upward cycle. More importantly, against the backdrop of reshaping the geopolitical landscape, technological autonomy and controllability have shifted from an optional topic to a mandatory strategy, providing additional growth options for the domestic industrial chain.
Looking ahead to 2026 at the current moment, investors need to see through short-term fluctuations and focus on two major key themes: first, the wave of hardware upgrades brought by the penetration of AI computing power from the cloud to the edge side; second, the structural opportunities of deepening domestic substitution in the semiconductor industry chain. This article will systematically review the technology investment map for the next two years from three dimensions: industry trends, cyclical positioning, and competitive landscape.
AI computing power: a paradigm shift from training to inference
The AI industry is transitioning from the "brute force miracle" training phase to the "efficiency-first" reasoning phase. According to industry estimates, by 2026, global demand for AI inference computing power is expected to reach 3 to 5 times that of training computing power, a structural shift that will reshape the value distribution of the industry chain. Although the cloud training market is still dominated by NVIDIA, the fragmented nature of the inference market provides differentiated competition space for ASIC chips and edge computing devices. It is worth noting that with the maturity of lightweight technologies for large models (such as quantization, pruning, distillation), demand for on-device AI computing power is exploding. Upgrades in computing power specifications for smartphones, PCs, and automotive electronics will drive comprehensive innovation in SoC chips, storage chips, and cooling devices. Investors should pay attention to targets with technological reserves in cutting-edge fields such as integrated storage and computing and chiplet packaging, as these companies are expected to see a Davis double strike in performance and valuation in 2026.
Semiconductors: Cyclical recovery resonates with domestic substitution
The global semiconductor industry is at a critical juncture transitioning from the bottom of the cycle to recovery. According to SEMI data, global wafer fab capital expenditure has shown a quarter-on-quarter recovery trend in 2024, and is expected to return to a growth channel in 2026, with a year-on-year growth rate of 15%-20%. At the same time, the process of self-localization in China's semiconductor industry has entered deep waters. In terms of equipment, the localization rate of key equipment such as etching and thin film deposition has risen from less than 10% in 2020 to over 30% in 2024, and this trend is expected to accelerate in 2026. Breakthrough progress has also been made in "bottleneck" segments such as electronic specialty gases and photoresists in the materials sector. It is important to emphasize that, unlike the previous cycle's broad rally, this round of recovery will show distinct structural characteristics: wafer fabs with advanced process capabilities or unique process advantages, as well as equipment and material companies entering leading overseas supply chains, will achieve excess returns. The combination of cyclical beta and alternative alpha forms the core investment logic of the semiconductor sector.
[Image: Comparison chart of global AI computing power demand forecast and semiconductor capital expenditure cycle from 2024 to 2026]
Industry Chain Mapping: Focusing on advanced packaging and equipment materials
In the intersection of AI and semiconductors, Advanced Packaging has become a key node connecting the two main lines. As Moore's Law slows down, Chiplet technology has become the core path for sustained computing power improvement, with demand for 2.5D/3D packaging and HBM (High Bandwidth Storage) supporting devices surging. It is expected that by 2026, the global advanced packaging market size will exceed $50 billion, with a compound annual growth rate of over 12%. For investors, it is important to focus on leading packaging and testing companies with core process capabilities such as TSV (through-silicon vias) and hybrid bonding, as well as upstream material suppliers like packaging substrates and epoxy molding materials. In terms of equipment, considering that wafer fab expansion peaks usually lead capital expenditure by 6-9 months, 2026 will be a period of intensive semiconductor equipment deliveries, with demand elasticity for thin film deposition equipment and metrology and inspection equipment being the most elastic. It is recommended to adopt a "core + satellite" strategy, with core positions allocated to platform equipment leaders with strong performance certainty, and satellite positions allocated to highly elastic targets in advanced packaging, HBM, and other niche tracks.
Risk and strategy: Finding certainty amid uncertainty
Despite positive industry trends, technology investment in 2026 still needs to be wary of multiple risks. On the geopolitical front, further expansion of the semiconductor export control list may affect the stability of industrial and supply chains; In terms of technical approaches, iteration of AI chip architectures (such as photonic computing and neuromorphic chips) may pose challenges to the existing CUDA ecosystem; On the valuation side, some AI concept stocks have already exhausted their growth expectations for the next 2-3 years, so caution is needed regarding valuation reversals after performance has been disproven. Therefore, investors are advised to adopt a "dumbbell-shaped" allocation strategy: on one end, allocate traditional technology blue chips with stable cash flow and strong dividend capability as a defensive position, and on the other end, allocate growth targets with high technological barriers and large domestic substitution potential as an offensive asset. At the same time, closely monitor inventory data and order visibility in the second half of 2025, as these are often leading indicators for assessing the strength of 2026 performance. In terms of timing, it is recommended to gradually build positions at valuation discounts during industry cycle troughs, avoiding chasing rallies at emotional highs.
Looking ahead to 2026, investment opportunities in the technology sector stem from the historic intersection of technological revolution and industry cycles. The explosive demand for AI computing power and the restructuring of the semiconductor industry chain are not only short-term trading opportunities but also the starting point for medium- and long-term industry trends. For investors, the key lies in distinguishing thematic speculation from genuine earnings growth, and seeking hardcore assets upstream in the industry chain that have technological moats and share growth logic. In this era of accelerating technological transformation, maintaining keen insight into industry trends while adhering to valuation discipline is the only way to achieve steady and long-term progress in tech stock investments.