#我的七夕交易分享 US AI Stocks
Based on the latest institutional views and market data, US AI stocks have evolved from the early-stage “NVIDIA dominance” into an ecosystem covering multiple segments, including chip design, semiconductor equipment, cloud computing platforms, AI application software, storage, and networking. The following research list is organized by position in the industry chain:
I. Chip Design: High-Profit Barriers and Long-Term Core Holdings
· NVIDIA (NVDA): The undisputed leader in AI GPUs, with approximately 86% of the data center GPU market. Although its stock price rose “only” 15% in Q2, HSBC expects its Q1 revenue to reach $81.1 billion, continuing to exceed expectations, with a price target as high as $325.
· Broadcom (AVGO): A leader in custom AI chips (ASICs), providing TPU solutions for companies such as Google, with a gross margin as high as 77%. The company expects AI chip business revenue to surpass $100 billion in 2027.
· AMD (AMD): Advancing on both the CPU and GPU fronts, with its market capitalization increasing by approximately $615 billion in Q2 2026, benefiting from the expansion of AI platforms in data centers.
II. Semiconductor Equipment: The “Shovel Sellers” of AI Capacity
· Applied Materials (AMAT) & ASML (ASML): Direct beneficiaries of increased capital expenditure by global technology giants, with their stock prices surging 200% and 150%, respectively, over the past year. Global AI capital expenditure is expected to jump from approximately $705 billion in 2026 to more than $1 trillion in 2027, further reinforcing equipment makers’ core position.
III. Cloud Computing and Platforms: The Main Battlefield for AI Monetization
Wall Street is shifting from “who invests the most” to “who can turn AI into profits.”
· Amazon (AMZN): AWS cloud revenue surged 37% year over year to $42.2 billion in Q2, while annualized AI business revenue exceeded $25 billion, driving the stock to lead the “Magnificent Seven.”
· Microsoft (MSFT): Strong demand for AI on Azure cloud, with its enterprise contract backlog reaching a record high; Wedbush considers it the most favored large-cap technology stock for 2026.
· Google (GOOGL): Its cloud business achieved its strongest growth ever, integrating the Gemini AI model with its cloud platform.
IV. Storage and Networking: The Overlooked “Bottleneck”
Capital is spreading from NVIDIA to the AI infrastructure supply chain, with storage standing out as the biggest highlight.
· Micron (MU): Explosive HBM demand drove its stock price up more than 240% in Q2, while its gross margin surged to 84.9% and its market capitalization briefly exceeded $1 trillion.
· SanDisk (SNDK) & Western Digital (WDC): The storage sector has performed strongly year to date, providing critical data support for AI servers.
· Lumentum (LITE): A core optical communications supplier benefiting from demand for connectivity within data centers, with its stock rising more than 13% in a single day in August.
V. AI Application Software: Stocks with Commercialization Potential
· Palantir (PLTR): Defense and data analytics, with US commercial revenue growing 121% year over year. Analysts believe it has the potential to become a “trillion-dollar market cap” company.
· CrowdStrike (CRWD): AI-enabled cybersecurity, with analysts assigning it a $700 price target.
· ServiceNow (NOW) & Salesforce (CRM): Software leaders in enterprise AI agents.
VI. Other Stocks Worth Watching
· Intel (INTC): Its market capitalization increased by approximately $480 billion in Q2, supported both by government backing and expectations of an AI chip transformation.
· Arm (ARM): Chip IP licensing, benefiting from demand for AI computing architectures.
Disclaimer: The above is for technical observations and industry analysis only and does not constitute any investment advice.
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