海光信息大涨13%，集成电路ETF涨超5%

Group 1: Market Activity - The storage chip sector is active, with Longxin Zhongke hitting a 20% limit up at the opening, and Haiguang Information rising by 13%, driving the integrated circuit ETF up over 5% and more than 18% year-to-date [1] - The integrated circuit ETF tracks the CSI All-Share Integrated Circuit Index, serving as a convenient tool for investing in leading companies across the entire chip industry chain [2] Group 2: Supply and Demand Dynamics - Samsung Electronics and SK Hynix are reportedly continuing to cut NAND flash production, which may exacerbate supply shortages, with Samsung's NAND wafer production expected to drop from 4.9 million last year to 4.68 million this year [3] - Micron Technology has indicated that the shortage of memory chips is worsening, driven by surging demand for high-end semiconductors required for artificial intelligence infrastructure [3] - The global 8-inch wafer supply is entering a period of imbalance, with a projected 2.4% reduction in total global 8-inch foundry capacity by 2026 due to strategic production cuts by major players [3] Group 3: Financial Performance and Projections - TSMC's earnings exceeded expectations, leading to an increase in its 2026 capital expenditure forecast to between $52 billion and $56 billion, up from $40.9 billion in 2025 [4] - TSMC anticipates a year-over-year revenue growth of 35.7% to 40% for the current quarter, with net profit reaching approximately $16 billion, driven by strong demand for AI high-performance chips [4] - Gartner projects that global AI spending will reach $2.53 trillion by 2026 and climb to $3.33 trillion by 2027, indicating a significant increase in demand for computing power and related components [4] Group 4: Industry Growth Drivers - Zhejiang Securities believes that the urgent demand for memory bandwidth and capacity driven by AI training and inference is propelling the storage industry into a new growth cycle, with both volume and price increasing [5] - The widespread application of AI, particularly in data-intensive fields such as deep learning and natural language processing, is leading to a noticeable increase in storage demand [5] - The integration of generative AI in end-user devices is expected to drive significant upgrades in storage capacity within the smartphone industry [5]