#Meta卖算力引发存储股大跌 On July 2, 2026, Meta announced plans to sell idle AI computing power, sparking concerns about an oversupply of computing capacity and causing a sharp decline in global AI tech stocks. On the same day, U.S. memory concept stocks like SanDisk and Micron Technology fell over 10%, South Korea’s SK Hynix and Samsung Electronics dropped 14.57% and 9.06% respectively, and A-share semiconductor and computing hardware sectors generally declined over 5%.


1. Event Background
Meta plans to launch a cloud infrastructure business, intending to lease or sell part of its AI computing power, involving two business lines: one is providing self-developed large model call services, and the other is directly selling computing resources. The company’s capital expenditure in 2026 is expected to reach $125 billion to $145 billion, doubling from 2025, primarily directed toward AI infrastructure.
2. Market Reaction
U.S. stock market: The Philadelphia Semiconductor Index fell 6% in a single day, memory stocks like Micron and SanDisk dropped over 10%, and Meta’s stock price once rose over 10% during the day, eventually closing up 8.81%.
Asian markets: South Korea’s KOSPI index triggered a circuit breaker, Japan’s Nikkei 225 fell 2.47%, and A-share semiconductor equipment ETFs saw net capital inflows of over 4.7 billion yuan in a single day, indicating capital divergence.
3. Points of Contention
The market is concerned that Meta, as a major computing power buyer turning into a supplier, may signal overheating in AI infrastructure investment, undermining the valuation logic of a “long-term shortage of computing power.”
Some institutions believe that Meta’s move is actually aimed at revitalizing idle resources (current utilization rate around 65%), converting capital expenditure into revenue, rather than a turning point in industry demand.
4. Industry Views
Pessimists argue that AI application monetization has fallen short of expectations, and high valuations in the hardware sector face compression;
Optimists point out that North American cloud vendors have a backlog of orders 14 times their quarterly revenue, and a computing power gap still exists. After short-term adjustments, leading stocks may present structural opportunities.
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#Meta卖算力引发存储股大跌 On July 2, 2026, Meta announced plans to sell idle AI computing power externally, sparking market concerns about oversupply of computing power and causing a sharp decline in global AI tech stocks. On the same day, U.S. stock memory concept stocks SanDisk and Micron Technology fell over 10%, South Korea's SK Hynix and Samsung Electronics fell 14.57% and 9.06% respectively, and A-share semiconductor and computing hardware sectors generally fell over 5%.
1. Event Background
Meta plans to launch a cloud infrastructure business, intending to rent or sell part of its AI computing power externally, involving two business lines: first, providing self-developed large model invocation services; second, directly selling computing power resources. The company's 2026 capital expenditure is expected to reach $125 billion to $145 billion, double that of 2025, mainly invested in AI infrastructure.
2. Market Reaction
U.S. stocks: The Philadelphia Semiconductor Index fell 6% in a single day, memory stocks like Micron and SanDisk fell over 10%, Meta's stock briefly rose over 10% that day, finally closing up 8.81%.
Asian markets: South Korea's KOSPI index triggered a circuit breaker, the Nikkei 225 fell 2.47%, and A-share semiconductor equipment ETFs saw net capital inflows of over 4.7 billion yuan in a single day, showing capital divergence.
3. Controversial Focus
The market worries that Meta, as a leading computing power buyer turning into a supplier, may signal overheating in AI infrastructure investment, shaking the valuation logic that "computing power will be in short supply for a long time."
Some institutions believe that Meta's move is actually to revitalize idle resources (current utilization rate about 65%) and convert capital expenditure into revenue, rather than a turning point for industry demand.
4. Industry Views
Pessimists believe that AI application monetization is below expectations, and the high valuations of the hardware sector are under pressure;
Optimists point out that North American cloud vendors have backlogs 14 times their quarterly revenue, the computing power gap still exists, and after short-term adjustments, leading stocks may present structural opportunities.
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· 7h ago
Steadfast HODL💎
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· 7h ago
Buy the dip entry 😎
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· 7h ago
Hurry up and get in the car! 🚗
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· 7h ago
Just go for it 👊
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HighAmbition
· 8h ago
thank you for information
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