From AI Frenzy to Hard Landing: The Valuation Restructuring and Market Turning Point Behind Micron's Plunge

Keywords: AI Hardware Stocks, Valuation Bubble, Market Turning Point, Micron Technology, US Tech Sector

Introduction: A Collective Pullback Triggered by Hawkish Signals

Tuesday's US stock market saw one of the most alarming scenes this year. Tech stocks led the decline, with AI chip stocks led by Micron Technology suffering heavy losses, recording a trading volume of $63.1 billion and a drop of 13.18%. This was not an isolated technical correction, but a harbinger of a deep market logic reshaping. The hawkish policy signals from the Federal Reserve were like a knife piercing the optimistic bubble built around AI themes. As inflation data remains high and interest rate expectations continue to rise, investors have decisively shifted from chasing high-growth, high-valuation AI tracks to risk-off mode. This shift in sentiment coincides with an important window before earnings season, and Micron Technology is the focal point of this valuation restructuring storm.

Part 1: Micron's 'Judgment Day' Before Earnings—The Valuation Ceiling of AI Storage and Market Expectation Misalignment

Micron's upcoming earnings report has been labeled 'Judgment Day' by the market. Options market pricing shows that the stock's expected volatility before the earnings release is as high as 17%, a number that itself sends a signal: there is huge divergence in market expectations for Micron. The fact that the stock has retreated from historical highs, combined with extreme options pricing, paints a clear picture: investors are setting the strictest judgment standards for the earnings outcome.

The company's quarterly guidance—revenue of $33.5 billion and adjusted EPS of $19.15—appears solid, but compared to Wall Street's consensus revenue of $34.5 billion and adjusted EPS of $19.72, there is already a revenue shortfall of about 3%. More critically, Micron has set new single-quarter revenue records for four consecutive quarters. This is both a testament to its strength and a sign of diminishing marginal growth momentum. In an era where AI storage demand is considered the core growth driver for the industry, the bar for earnings evaluation has been significantly raised. Simply beating basic profit expectations is no longer enough to satisfy investors—most positive news has already been priced in through continuous stock price increases. When the market believes it is 'almost impossible to exceed expectations,' any data below extreme expectations triggers a sharp sell-off. Micron's decline is essentially an active correction of the valuation bubble in the AI storage track.

Part 2: From NVIDIA to SanDisk—The Unfolding of AI Hardware Ebb and Panic Transfer from the Korean Stock Market

Micron is not alone. Following closely, NVIDIA fell 4.13% with a trading volume of $30.6 billion; SanDisk plunged 13.64% with a volume of $25.2 billion. The simultaneous decline of these three AI hardware leaders reveals a concentrated outbreak of core market divergence: does the ebb of global AI computing power trading sentiment mean the collapse of the AI hardware valuation bubble?

SanDisk's drop is particularly striking. As a key player in the storage field, its stock is highly correlated with Micron. More importantly, the plunge in the Korean stock market triggered panic transfer. South Korea, as a major producer of global memory chips, saw its capital market turmoil directly affect the confidence of overseas investors in storage stocks. The concentrated realization of high-position profits is a direct manifestation of this panic transmission mechanism.

NVIDIA's decline is more symbolic. As the king of AI hardware, NVIDIA's valuation has always been questioned by the market. Although its GPUs dominate AI training and inference, its price-to-sales ratio of over 30 times has exceeded historical industry averages. When market sentiment shifts from 'AI disrupts everything' to 'is the valuation reasonable?', NVIDIA's drop becomes the denominator for the entire sector's valuation correction.

Part 3: SpaceX's Massive Subscriptions and Tesla's Regulatory Storm—Polarization of Risk-Averse Demand

Against the backdrop of market panic spreading, the flow of risk-averse capital shows a high degree of polarization. The completely different performances of SpaceX and Tesla are the best illustration of this trend.

SpaceX rose 0.98% with a trading volume of $24.3 billion. The company announced the issuance of senior unsecured notes, initially planning to raise $20 billion, but as of Tuesday, it had received nearly $90 billion in subscription orders, eventually increasing the issue size by $5 billion. This phenomenon clearly shows that while AI hardware stocks are being sold off, capital is flowing into 'hard tech' areas with stronger defensive attributes and more certain growth. SpaceX's aerospace business has high technical barriers and contract stability, and its cash flow predictability is far better than that of volatile semiconductor companies. The $90 billion in subscription orders, on the surface, represents capital chasing, but in essence, investors are actively reducing the macro sensitivity of growth stocks and seeking certain returns brought by policy tolerance and technology lock-in.

Tesla, in stark contrast, fell 5.79% with a trading volume of $19.1 billion. The National Highway Traffic Safety Administration (NHTSA) announced it has opened a special investigation into a fatal crash involving a Tesla Model 3. The vehicle was reportedly using an advanced driver assistance system when it crashed into a home, killing a 76-year-old woman. The cruelty of this accident is that it thrusts the core pillar of Tesla's valuation—autonomous driving technology—into the spotlight of doubt. When investors see the commercialization prospects of 'FSD' as still distant, and traditional vehicle deliveries face risks of slowing growth, Tesla's intrinsic risk is being repriced by the market. Baird analysts predict Tesla will deliver 392,900 vehicles in the second quarter and 1.68 million vehicles in total in 2026. While these forecasts are optimistic, they are no longer sufficient to support its current high valuation under the dual blow of regulatory and safety incidents.

Part 4: Intel and Apple—Overlooked 'New Tracks' and the Reshaping of the AI Chip Ecosystem

Under the shadow of the collapse of AI chip leaders, the moves of Apple and Intel instead offer a noteworthy undercurrent. Apple fell 0.91% with a trading volume of $15.4 billion, while Intel fell 6.14% with a volume of $17.6 billion. On the surface, both dropped similarly, but behind this, a seemingly absurd yet significant piece of news surfaced: former US President Trump disclosed on Truth Social that Intel and Apple have reached an intention to cooperate on designing and producing chips on US soil.

Although official confirmation of this news remains pending, it reveals a key industry trend: the AI chip supply chain is undergoing dual restructuring—'deglobalization' and 'localization.' Apple, as a chip design giant in consumer electronics, has long relied on TSMC for advanced process manufacturing. Now, choosing to cooperate with Intel means that Intel may achieve a breakthrough in its IFS (Intel Foundry Services) business. For Intel, this is not just a foundry order but a key battle to regain a say in advanced process manufacturing. If this collaboration materializes, it will directly challenge TSMC's monopoly in high-end chip foundry and add a new variable to the global AI chip ecosystem. For investors, this means the investment narrative for AI hardware is evolving from 'NVIDIA dominance' to a 'diversified competitive landscape.'

Part 5: Microsoft and Amazon—Cloud Services' 'AI Monetization' and the 'Digital Acceleration' of Consumer Electronics Events

Compared to the violent turbulence in AI chip stocks, the two cloud service giants Microsoft and Amazon showed significant resilience. Microsoft rose 1.80% with a trading volume of $14.8 billion. On June 23, the company announced that its first data center in Mount Pleasant, Wisconsin, had been fully commissioned, and it expects to invest $4.7 billion in hyperscale construction projects in the state between 2024 and 2028.

The construction of data centers means the hardware deployment of AI cloud services is accelerating. The commissioning of large-scale data centers will directly boost Microsoft Azure's ability to handle AI workloads, translating into actual revenue from enterprise users. This closed-loop logic of 'infrastructure-computing power-revenue' is more stable and predictable than standalone chip profits.

Amazon rose 0.57% with a trading volume of $13.4 billion. JP Morgan analysts estimate that Amazon's four-day Prime Day event will generate $7 to $8 billion in incremental global revenue in the second quarter. This event, covering over 35 countries and just officially launched, is becoming Amazon's test field for AI monetization in retail. Through intelligent recommendation algorithms, dynamic pricing strategies, and automated warehousing, Prime Day is not just a promotion but a typical scenario where Amazon embeds AI technology into its business lifeline.

Conclusion: The Transformation of AI Investment Logic Under Valuation Reshaping

The current violent fluctuations in US tech stocks are ostensibly the result of the resonance of the Fed's hawkish signals and pre-earnings season market sentiment, but the deep reason is the painful transition of AI investment logic from 'expectation-driven' to 'performance-verification.' The declines of Micron, NVIDIA, and SanDisk are not signals that AI demand disappears, but rather the market correcting valuations that were 'overly optimistic.'

Going forward, investors need to watch three core indicators: First, whether AI computing hardware companies can find a balance between profit expansion and stock prices; second, whether cloud service giants can achieve synchronized revenue growth through large-scale data center investments; and third, whether the localization and diversification of the AI chip supply chain will give rise to new industry dark horses.

In this process, companies with strong barriers and low cyclicality, such as SpaceX, and AI application-layer giants like Microsoft and Amazon, may become safe havens for risk-averse capital. In contrast, AI hardware stocks that are highly dependent on macro liquidity and have severely overextended valuations will face a longer period of valuation digestion. The third quarter of 2024 will be a watershed for testing the authenticity of AI investment stories. Investors need to be prepared to redefine 'value' under new market rules.