#美股AI概念股普涨

① Market Review and Driving Logic

Event Recap: Intel’s over 3 million AI chip orders ignite the market rally

Review of last Friday (June 5)’s "Black Friday," when Intel’s stock plunged over 7%, spreading market panic. However, just a weekend later, the story had a stunning turnaround. 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 the key insight.

Macroeconomic Battle: The Tug-of-War Between Rate Hikes and 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 valuation terms, the S&P 500’s Shiller P/E has risen to 42.04, well above the historical average, indicating high valuations 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 climbed to 70%, with the rate futures market fully pricing 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

Three representative institutions hold markedly different views, confirming current market divergence:

💡 The Bullish Camp: Motley Fool
Recommends Nvidia, Broadcom, TSMC, Micron as top picks, citing "strong earnings momentum," while acknowledging valuation risks.

💡 Cautiously Optimistic: Ping An Securities International
Forecasts U.S. stocks to fluctuate at high levels in the second half of 2026, with limited valuation expansion, relying on earnings upgrades for upside; focuses on AI as the core theme, balancing hardware certainty with software flexibility.

💡 Chip Allocation Camp: Cathie Wood (Ark Invest)
In the first five months of 2026, actively rebalanced, 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 moves are particularly noteworthy because, in 2026, she abandoned the "second bubble" in training chips, instead betting on the explosive growth of inference chips—projected to outpace training chips for the first time in 2026-2027. This judgment offers important reference for individual investors’ holdings differentiation.

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② Three Charts of AI Infrastructure: The "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 grew 65% YoY, with the four major cloud 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 saw the most visually striking gains. SanDisk was included in the Nasdaq 100 index and soared to about $1,410, while Lumentum, which produces optical components for high-speed AI data center transmission, rose over 145% after being added to the S&P 500.

Energy Layer: This is the most promising mid-term sector but was severely undervalued in the June 8 rally. AI data centers’ single cabinet power increased from traditional 5-15 kW to 50-100 kW, with power consumption expected to double by 2030. Traditional grid expansion takes 5-7 years, and gas turbine orders are booked until 2029. Key stocks like GE Vernova have $59 billion in orders for 2025, with backlog orders reaching $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 Stocks

① Stock Selection Framework

Type Stock Gate Code Core Logic
Industry Leader Nvidia NVDA Core beneficiary of AI compute power, with cloud giants’ capex around $700 billion
Top Partner Broadcom AVGO Beneficiary of custom AI chips, key partner for Google and Meta’s dedicated chips
Flexible Stock Micron MU CEO emphasizes "storage is the essence of the AI race," with the storage sector boosted by new AI demands
Potential Explosion SanDisk WDC/SanDisk Significant gains this year, with rapid attention after inclusion in Nasdaq 100
Edge Research Bloom Energy BE Differentiated stock breaking energy bottlenecks, with contract-to-power time only 55 days

🔹 The mismatch signal from TSMC (TSM) and Cathie Wood’s reductions: Motley Fool still lists it as a top pick, and Ping An Securities International also recommends focusing on its wafer foundry cycle upswing, but Wood has sold about 100k shares at high levels, cashing out roughly $40.6 million.

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Gate Platform Advantages and Precautions

Gate’s stock section offers direct USDT trading of U.S. 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’s advised to stagger positions, avoid chasing highs, control position sizes reasonably, and closely monitor CPI data and Fed officials’ statements.