Apple(US:AAPL) Zhi Tong Cai Jing·2025-09-17 05:25Group 1: AI Infrastructure and Market Potential - Bernstein's report highlights the massive potential of AI inference systems, predicting a trillion-dollar "super blue ocean" market by 2030, benefiting major tech companies focused on IT hardware and consumer electronics [1][2] - The global AI infrastructure investment wave is expected to reach up to $2 trillion, with Nvidia's CEO forecasting spending on AI infrastructure to hit $3 trillion to $4 trillion before 2030, presenting significant long-term growth opportunities [2] Group 2: Company-Specific Insights - Apple is identified as the "best entry point for the AI inference revolution," with strong pre-order demand for the iPhone 17, particularly in China, indicating robust market interest despite initial criticisms [3][4] - Dell and HPE are expected to benefit from the significant growth in AI server shipments, which should lead to substantial increases in profitability and free cash flow [4][5] Group 3: Storage Demand and Market Dynamics - The surge in AI inference demand is anticipated to drive long-term growth in data storage needs, with Seagate and SanDisk positioned to benefit significantly from this trend [6][8] - NAND flash leader SanDisk has seen a remarkable 500% stock price increase this year, while Seagate and Western Digital have also experienced substantial gains, reflecting the booming storage market driven by AI infrastructure [6][8] Group 4: Future Growth Projections - Data center storage is projected to grow at a compound annual growth rate of approximately 23% until 2030, with HDD and NAND manufacturers poised to benefit from the ongoing surge in storage demand driven by AI inference [8] - The emergence of AI agents is transforming AI from an information tool to a highly intelligent productivity tool, enhancing operational efficiency across various sectors [7]