（原标题：?芯片股牛市叙事仍在"主升浪"! 2026年配置主题紧抓AI芯片、半导体设备与光互连） 智通财经APP获悉，华尔街金融巨头摩根士丹利发布的最新研究报告显示，在史无前例的AI基建热潮以 及传统模拟芯片/MCU强劲去库存步伐推动之下，芯片股的"长期牛市逻辑"仍然完好无损，明年芯片股 仍有可能是美股市场表现最亮眼板块之一，英伟达(NVDA.US)、博通(AVGO.US)以及Astera Labs(ALAB.US)位列该机构2026年首选半导体股票之列。 相比于立场稍显谨慎的大摩，美银的表述更直接：仍将AI竞赛视为"早/中期阶段"，并预期AI半导体这 一芯片板块细分领域在2026年仍非常有可能维持50%+的同比增长驱动因素(高数据中心利用率、供给偏 紧、企业采用、LLM/云厂商/主权客户竞赛等)。 几乎同一时间，另一华尔街金融巨头美国银行(Bank of America Research)的资深分析师团队表示，带领 美股踏入这轮超级牛市的芯片板块明年有望继续牛市上攻行情，同样强调英伟达与博通乃2026年最值得 长期持有的芯片股。美国银行在研报中表示，全球AI军备竞赛仍处于"早期到中期阶段"，尽管英伟达、 博 ...

Core Insights - Nvidia has become the first company globally to reach a market capitalization of $5 trillion, driven by its significant share in AI investment spending [1] - The measurement of data centers has shifted from physical size to computing power measured in gigawatts, with Wall Street now evaluating data centers based on "cost per gigawatt" [1] - The construction cost for a 1 gigawatt AI data center is estimated at $35 billion, representing a new economic foundation for the AI industry [2] Cost Structure of AI Data Centers - The largest single cost in AI data centers is attributed to GPUs, accounting for approximately 39% of total expenditures, with Nvidia's chips being the primary contributors [3] - Each 1 gigawatt of computing power requires over 1 million GPU chips, highlighting the central role of GPUs in the AI industry [3] - Networking equipment follows GPUs in cost, comprising about 13% of data center expenses, benefiting companies like Arista Networks and Broadcom [4] Infrastructure and Operational Costs - Power and cooling infrastructure, including generators and transformers, represent nearly 10% of total costs for a 1 gigawatt AI data center [6] - The operational costs of running a 1 gigawatt AI data center are relatively low, with annual electricity costs estimated at $1.3 billion and minimal personnel requirements [7] - The industry is facing challenges related to power supply, with major companies like Siemens Energy and GE Vernova reporting a surge in orders for turbines and grid infrastructure [7]