#美股AI概念股普涨

① Market Review and Driving Logic
Event Recap: Intel’s Over 3 Million AI Chip Orders Spark Market Rally
Review of last Friday (June 5)’s "Black Friday," when Intel’s stock plunged over 7%, spreading market panic. However, just over a weekend, the story took a stunning turn. On the news front, Google placed an order for over 3 million TPU AI chips from Intel, scheduled for delivery by 2028, while Nvidia is testing Intel’s technology to produce new processors integrating four graphics chips.
Immediately, Micron Technology surged 9.87%, Nvidia followed with a 1.73% increase, the Philadelphia Semiconductor Index rebounded nearly 6%, and storage leader Micron’s CEO bluntly stated, "The essence of the AI race is a storage race," revealing a key insight.
Macroeconomic Battle: Rate Hike Clouds and the "Tug-of-War" in AI Market
Behind this rebound, a more complex macro structure is hidden. The current macro environment is in a contradiction: on the fundamentals side, SIA data shows global chip sales in April increased 93.9% year-over-year to $110.5 billion, marking the 14th consecutive month of sequential growth. It’s expected that by 2026, global semiconductor sales will reach $1.5 trillion, faster than previous estimates. However, in terms of valuation, the S&P 500’s Shiller P/E has risen to 42.04, well above the historical average, indicating high valuation levels for tech stocks. On the interest rate front, CME data shows the probability of the Federal Reserve raising rates before the end of 2026 once rose to 70%, and the interest rate futures market has fully priced in a 25 basis point hike before December, exerting clear pressure on overvalued tech stocks.
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① Institutional Debate: "Chip Game" Under Divergent Views
There are obvious differences among three representative institutions, confirming current market divergence:
💡 The Bull Camp: Motley Fool
Recommends Nvidia, Broadcom, TSMC, and Micron as top picks, citing "strong profit momentum," while acknowledging valuation risks.
💡 Cautiously Optimistic: Ping An Securities International
Forecasts that U.S. stocks will fluctuate at high levels in the second half of 2026, with limited valuation expansion space, relying on earnings upgrades for upward movement; focuses on AI as the core theme, balancing hardware certainty and software flexibility.
💡 Chip Distribution Camp: Cathie Wood (Ark Invest)
In the first five months of 2026, actively rebalanced holdings, reducing TSMC by about $40.6 million and taking profits on AMD, while building positions in wafer-level AI inference chip company Cerebras with over $25 million, indicating a shift of AI computing demand from large-scale model training to high-frequency, low-cost inference.
Wood’s operations are highly noteworthy because, in 2026, she abandoned the "second bubble" in training chips and instead bet on the explosive growth of inference chips—expecting the inference chip market to outpace training chips for the first time in 2026-2027. This judgment offers important reference value for individual investors’ portfolio differentiation.
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② AI Infrastructure Three Charts: "Dimensionality Reduction" in the Energy Sector Has Emerged
The core logic of the AI industry chain can be summarized into three layers:
Compute Layer: Nvidia’s FY2026 revenue is expected to grow 65% YoY, with the four major cloud service providers’ capital expenditure totaling about $700 billion, driving continuous demand for GPUs, HBM, and advanced process nodes. SanDisk has surged over 3,640% since 2025.
Storage Layer: This year’s storage sector has seen the most visually striking gains. SanDisk, included in the Nasdaq 100, soared to about $1,410, while Lumentum, which produces optical components for AI data center high-speed transmission, rose over 145% after being included in the S&P 500 this year.
Energy Layer: This is the most promising mid-term sector but was still severely undervalued in the June 8 rally. AI data centers are increasing power per cabinet from traditional 5-15 kW to 50-100 kW, with electricity consumption expected to double by 2030. Expanding traditional power grids takes 5-7 years, and gas turbine orders are scheduled through 2029. GE Vernova’s orders reached $59 billion in 2025, with backlog orders rising to $150 billion; Bloom Energy’s fuel cells can reduce contract-to-power time to just 55 days, with Q1 revenue up 130% YoY. While most capital remains focused on compute and storage layers, the energy layer actually offers a larger mid-term growth gap.
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② Gate Trading Opportunities and Core Targets
① Target Recommendation Framework
Type Target Gate Code Core Logic
Industry Leader Nvidia NVDA Beneficiary of AI compute power, with cloud giants’ capex around $700 billion
Leading Partner Broadcom AVGO Beneficiary of custom AI chips, key partner for Google and Meta’s dedicated chips
Flexible Target Micron MU CEO emphasizes "storage is the essence of the AI race," with storage sector boosted by new AI demands
Potential Explosion SanDisk WDC/SanDisk Significant intra-year gains, with rapid attention increase after inclusion in Nasdaq 100
Edge Research Bloom Energy BE Differentiated target breaking energy bottlenecks, with contract-to-power time only 55 days
🔹 TSMC and Cathie Wood’s Discrepancy Signal: Motley Fool still lists TSMC as a top pick, and Ping An Securities also recommends focusing on its wafer foundry cycle upswing, but Wood has sold about 100k shares at a profit of roughly $40.6 million.
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Gate Platform Advantages and Precautions
Gate’s stock section offers direct USDT trading of US stocks, eliminating the need for currency exchange or multiple account switching. You can participate in expensive stocks like Nvidia with as little as $1, managing crypto and stock assets on the same interface, enabling more flexible cross-market allocation.
⚠️ Important Risk Reminder: This week’s market faces two key variables: the May CPI/PPI inflation reports and SpaceX’s $75 billion IPO. If inflation data exceeds expectations, further sell-offs may occur. The long-term logic of the AI sector remains unchanged, but short-term volatility in June-July is expected to stay high. It is advisable to deploy gradually, avoid chasing highs, reasonably control position sizes, and closely monitor CPI data and Fed officials’ statements.