2026年度投资策略：把握AI创新，找寻价值扩张方向

Core Insights - The report emphasizes the importance of "speed + power" as the core contradiction in the future development of the AI industry, highlighting significant market movements in both speed and power sectors over the past year [1][9] - For 2026, the focus should be on observing the commercial closure rhythms of CSPs and large model vendors to grasp the overall industry beta, while actively seeking value expansion and capital expenditure shifts in specific segments [1][10] - The report suggests that capital expenditure (Capex) and return on investment (ROI) are critical variables in understanding computing power demand, which is primarily driven by token counts and Capex [1][10] Investment Strategy - The computing power industry is viewed as the foundation of technology, with a long-term positive outlook. The report recommends actively seeking value expansion and capital expenditure shifts in specific segments, maintaining the focus on "speed + power" [3][12] - Key areas of investment include domestic computing power, semiconductor equipment, storage, and AI terminals [3][12] Capital Expenditure Analysis - Major cloud service providers (CSPs) have significantly increased their capital expenditures, with the top five CSPs' combined Capex reaching $308.1 billion in Q3 2025, a 75% year-on-year increase [24][27] - Google, Microsoft, Amazon, Meta, and Oracle are leading this trend, with Google and Microsoft showing particularly aggressive Capex growth to support AI infrastructure [27][28] - The report highlights that Google’s Capex for 2024 is projected to be $52.5 billion, a 63% increase year-on-year, while Microsoft’s Capex is expected to reach $75.6 billion, an 84% increase [27][28] AI Model and Chip Development - The report discusses the rapid iteration of Google's Gemini model family, which has introduced significant advancements in AI capabilities, including multi-modal understanding and enhanced reasoning abilities [36][41] - NVIDIA is identified as a key player in the computing power landscape, with its customer base including CSPs, large model vendors, and government clients, driving substantial revenue growth [24][30] - The report notes that the demand for AI chips is expected to grow, with companies like OpenAI forming strategic partnerships with major chip manufacturers to enhance their infrastructure [62][63] Domestic Computing Power Growth - The report anticipates a breakthrough year for domestic computing power in 2026, driven by the acceleration of domestic large models and positive capital expenditure outlook from cloud vendors [2][6] - The supply side is expected to transition from single-point breakthroughs to multi-point developments, indicating a robust growth trajectory for domestic computing power vendors [2][6] Semiconductor and Storage Opportunities - The semiconductor sector is highlighted as benefiting from an AI-driven storage supercycle, with equipment manufacturers poised to gain from original factory expansions [2][8] - The report emphasizes the importance of AI in driving growth in the storage industry, predicting rapid expansion in this sector [2][8]