Nasdaq Drops for Fourth Consecutive Session as Tech Sell-Off Spreads: Is This an AI Bubble Burst or a Healthy Correction?

Markets
Updated: 06/26/2026 10:01

On June 25 (June 26 Beijing time), US tech stocks faced another wave of aggressive selling. Apple (AAPL) plunged 6.12% at the close, marking its largest single-day decline since April 2025. Microsoft (MSFT) dropped 3.46%, Amazon (AMZN) fell 3.10%, Meta (META) slid 2.65%, Nvidia (NVDA) lost 1.64%, Google (GOOGL) dipped 0.83%, and Tesla (TSLA) edged down 0.11%. The entire "Magnificent Seven" closed lower, with the Wind US Magnificent Seven Tech Index tumbling 2.75% in a single day.

The Nasdaq Composite ended down 0.46% at 25,358.60, marking its fourth consecutive day of losses—the first four-day losing streak since February this year. The S&P 500 slipped 0.01% to 7,357.49, while the Dow Jones Industrial Average bucked the trend, rising 0.14% to 51,920.62.

A tale of two markets is unfolding: while tech giants collapse across the board, memory chip stocks are soaring. Micron Technology (MU) surged 15.74% at the close, Western Digital (WDC) rocketed 21.97%, and the Philadelphia Semiconductor Index jumped 3.59%. Why does the logic of "selling tech giants, buying chip stocks" hold true simultaneously? Is this sell-off a sign of an impending AI bubble burst, or simply a healthy valuation correction?

Why Did the Magnificent Seven Face Collective Selling at the Same Time?

The June 25 sell-off wasn’t an isolated event. Over the past week, tech stocks have remained under pressure, with the Nasdaq posting losses for four straight sessions. This round of declines was triggered by multiple factors, not a single event.

The most immediate catalyst came from price transmission in consumer electronics. Apple announced global price hikes for Mac, iPad, and several hardware products, with increases up to $300—the company’s largest global price adjustment in years. CEO Tim Cook explained that volatile memory and storage prices, driven by AI-induced demand, have disrupted supply-demand balance, making price increases unavoidable. Apple can no longer rely on its scale advantage to secure discounted procurement. Microsoft also announced price hikes for Xbox consoles on the same day, citing rising costs of key components.

News of price hikes directly hit market expectations for tech giants’ profit margins. When raising end-user prices becomes a forced move rather than an exercise of pricing power, it signals that cost pressures are too great to absorb internally. Carol Schleif, CIO of BMO Family Office, noted, "The market is starting to realize that a company’s impressive revenue and profit numbers mean that someone else in the supply chain is bearing the cost."

Deeper pressures stem from macro factors. According to US Commerce Department data, the Fed’s preferred inflation gauge—the Personal Consumption Expenditures (PCE) Price Index—rose 4.1% year-over-year, the highest since April 2023. Core PCE climbed 3.4% year-over-year, also hitting a new high since October 2023. With inflation pressures resurfacing, traders expect the Fed to raise rates by at least 25 basis points before year-end. The logic is clear: higher discount rates mean lower present value for future cash flows, increasing the relative appeal of low-risk assets like US Treasuries, and weighing on high-valuation tech stocks.

Why Are Memory Chip Stocks Surging While Tech Giants Plunge?

This is a set of seemingly contradictory, but actually logically consistent, market signals.

On June 25, Micron Technology released its Q3 fiscal 2026 earnings, beating Wall Street expectations across the board. The supply-demand dynamics for memory chips are undergoing a fundamental shift—AI servers’ demand for high-bandwidth memory (HBM) remains tight, while supply expansion is lagging. Micron’s strong results confirm that AI infrastructure investment is genuinely driving upstream hardware demand.

But this is precisely the issue: as upstream chip companies rake in profits, costs are cascading down the supply chain. Apple and Microsoft’s price hike announcements are direct evidence of this cost transmission reaching the end-user. Jed Ellerbroek, portfolio manager at Argent Capital Management, said, "As memory chip prices keep rising, all electronic products with semiconductor components will see price increases. The notable inflation in the tech supply chain is having widespread spillover effects."

This has led to a subtle but crucial shift in market pricing logic: investors are still betting on AI hardware demand (hence Micron’s rally), but are increasingly worried that cost pressures will erode tech giants’ profit margins (hence Apple and Microsoft’s slump). This isn’t the end of the "AI trade"—rather, its internal structure is shifting from end-user applications to upstream hardware.

Four-Day Losing Streak: Trend Reversal or Temporary Pullback?

Zooming out, the scale and nature of this correction warrant closer scrutiny.

According to Dow Jones market data, the "Magnificent Seven" have lost over $3 trillion in combined market value since June, potentially setting a record for the largest monthly drawdown ever. On June 25 alone, the seven tech giants saw $572 billion wiped out. Apple lost more than $263 billion in market cap overnight.

But this isn’t the first time tech stocks have faced massive selling. Previous rallies were equally astonishing—even after this pullback, Western Digital and Micron are up 727% and 269% respectively in 2026. In a market deeply intertwined with leveraged ETFs, retail margin trading, and momentum strategies, it can be hard to distinguish between a temporary correction and a trend reversal based solely on price action.

From an index perspective, the Nasdaq Composite fell about 4.4% this week, the S&P 500 dropped roughly 1.9%, while the Dow rose around 0.7%. This divergence is telling: capital isn’t fleeing the market entirely, but is being reallocated across sectors. Volatility in tech is prompting investors to shift toward defensive and value sectors like healthcare, utilities, and industrials. The Dow hit an intraday record high, with Johnson & Johnson up about 1% and Caterpillar soaring 6%. These signals point to "rotation," not "collapse."

How Does History Anchor Current Tech Stock Valuations?

Tech stocks now hold an unprecedented weight in the US market. The tech sector accounts for about 37% of the S&P 500; factoring in Alphabet, Meta, Amazon, and Tesla, this rises above 50%. In the Nasdaq Composite, tech’s weight is 55–60%, with the top ten constituents making up nearly 45–50%.

This extreme concentration means two things: first, the performance of tech giants determines index direction—the Magnificent Seven make up 34% of the S&P 500’s total market cap; second, any unwinding of concentrated holdings will amplify index volatility. On June 23, the Nasdaq 100 lost over $1 trillion in market cap in a single day, illustrating this effect.

From a valuation perspective, high-valuation tech stocks are highly sensitive to interest rate changes. As Fed policy expectations shift from "rate cuts" to "rate hikes," the pressure for multiple contraction rises. Bank of America forecasts the Fed may hike rates by 25 basis points each in September, October, and December 2026, totaling 75 basis points for the year. If this materializes, tech stock revaluation may not be over yet.

However, a pullback doesn’t necessarily mean a bubble burst. Previous rallies were built on real fundamentals—AI infrastructure investment is happening, cloud providers’ capital expenditures are real, and supply-demand tightness for HBM and memory chips is genuine. The market isn’t suddenly doubting AI’s existence; it’s recalculating a more pragmatic question: if capital costs are higher and profits further out, how much are investors willing to pay for AI assets now?

Has the Sell-Off Spread from US Stocks to Global Risk Assets?

The tech sell-off is transmitting across borders.

After Asian markets opened on June 26, the Nikkei 225 plunged over 2,700 points in early trading, down 3.82%. Korea’s KOSPI dropped over 4% in early trading, with chip giants SK Hynix and Samsung Electronics both falling around 5%. On June 23, the KOSPI had already dropped nearly 10% in a single day, with SK Hynix and Samsung both posting double-digit declines.

The transmission path is clear: US tech giants are the demand endpoint of the global tech supply chain. When end-user demand logic is questioned, upstream overseas suppliers feel the pressure first. Korea’s memory and HBM supply chain is tightly linked to US AI hardware trades—previously benefiting from "explosive AI demand," now facing the impact of shifting logic.

Crypto markets are feeling the strain as well. Ethereum dropped 5.6% in 24 hours to around $1,555, XRP fell 4.9%, and the new wave of tech stock selling is dragging down global risk assets. The contraction in risk appetite is spreading across asset classes.

What Are the Key Variables to Watch Going Forward?

The next phase of the market will hinge on several critical variables.

First is the Fed’s policy trajectory. May PCE data rose 4.1% year-over-year—more than double the Fed’s 2% inflation target. Fed "number three," New York Fed President John Williams, stated the current rate level is "fully equipped" to guide inflation back to the 2% long-term target, expecting inflation to return to 2% by 2028. But market expectations for policy timing are rapidly shifting. If inflation data continues to surprise on the upside, rising rate hike expectations will keep pressure on tech valuations.

Second is the visibility of returns on cloud providers’ AI capital expenditures. Alphabet, Amazon, Meta, and Microsoft are expected to spend up to $700 billion on AI this year. The market is asking: when will these massive investments translate into clear profits? If the payback cycle lengthens or returns fall short, the valuation logic for tech giants will face fundamental challenges.

Third is where cost transmission ends. Rising memory chip prices are already pushing up consumer electronics prices. If costs keep cascading down the supply chain, they could eventually suppress end-user demand, creating a negative feedback loop. Ellerbroek noted that consumer spending power is currently sufficient to absorb this round of price hikes—but that depends on inflation not spiraling out of control.

Summary

The June 25, 2026 US tech stock sell-off was the result of multiple pressures converging: end-user price hikes exposed cost pressures, inflation data reinforced rate hike expectations, and the market began reassessing the efficiency of AI capital expenditures. The Magnificent Seven’s broad decline and the Nasdaq’s four-day losing streak are concentrated manifestations of these pressures.

Yet the simultaneous surge in memory chip stocks shows the market isn’t rejecting the AI industry trend—it’s repricing the value distribution across the supply chain. The migration of capital from high-valuation tech giants to upstream hardware and defensive sectors resembles a structural valuation adjustment, not the end of a trend.

Extreme market concentration amplifies volatility, and uncertainty in Fed policy means the revaluation process may not be over. The core variables to watch are: whether inflation recedes, whether AI capital expenditures deliver returns, and whether cost transmission forms negative feedback at the demand level. The answers to these questions will determine whether this sell-off is a healthy, temporary correction or the start of a longer-term adjustment.

FAQ

Q1: What’s the main reason Apple dropped more than 6% in a single day?

Apple plunged 6.12% on June 25, directly triggered by the company’s global price hikes for Mac, iPad, and several hardware products, with increases up to $300. Apple attributed the price hikes to sharply rising memory and storage chip costs, as AI-driven demand disrupted supply-demand balance. The market interpreted this as a sign that cost pressures are too great to absorb internally, raising concerns about Apple’s future profit margins.

Q2: What does the Nasdaq’s four-day losing streak indicate?

The Nasdaq Composite’s four consecutive days of losses mark the first such streak since February this year. This is a technical signal showing persistent short-term selling pressure. However, from a broader perspective, the Dow’s concurrent gains and intraday record highs suggest the market isn’t falling across the board—capital is rotating out of tech and into other sectors.

Q3: Why did memory chip stocks surge while tech stocks sold off?

Micron’s June 25 earnings report beat expectations, confirming that AI infrastructure investment is driving upstream hardware demand. The supply-demand dynamics for memory chips remain tight due to AI servers’ HBM needs. While the market is selling end-user tech giants squeezed by rising costs, it continues to buy upstream chip makers benefiting directly from AI hardware capital expenditures—this reflects a redistribution of value within the AI supply chain, not a wholesale retreat from the AI trade.

Q4: Is this tech stock sell-off the bursting of the AI bubble?

A more accurate description is "internal structural adjustment of the AI trade" rather than "bubble burst." The market isn’t rejecting the AI industry trend—it’s repricing the value across different supply chain segments. The simultaneous surge in chip stocks and plunge in tech giants shows capital is still flowing within the AI chain, just shifting from end-user applications to upstream hardware. However, extreme market concentration and rising rate expectations mean volatility may persist.

Q5: What key signals should be watched going forward?

Three core variables: First, the Fed’s policy path—May PCE rose 4.1% year-over-year; if inflation continues to surprise, rising rate hike expectations will further pressure tech valuations. Second, visibility of returns on cloud providers’ AI capital expenditures—the four tech giants are expected to spend $700 billion on AI this year, and whether those investments deliver returns is crucial. Third, the endpoint of cost transmission—memory chip price hikes have already pushed up end-user prices; if demand is ultimately suppressed, a negative feedback loop could form.

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