Tech Stock Selloff Shakes Global Markets as Investors Question AI Spending Returns

Reviewed byNidhi Govil

8 Sources

Share

A sharp tech stock selloff sent the Nasdaq down 2% on Tuesday as investors questioned whether massive AI spending will deliver promised returns. Semiconductor companies including Nvidia and Micron led the decline, triggering a global market correction that spread from Wall Street to Asian markets. The sell-off raises fundamental questions about AI stock valuations after a relentless three-month rally.

Global Markets Reel as Tech Stock Selloff Intensifies

A wave of selling swept through tech stocks on Tuesday, sending the Nasdaq down approximately 2% and triggering concerns over AI spending that have been building for months

1

2

. The tech-heavy index closed at 25,587, shedding 580 points in what marked a second consecutive day of losses following Monday's 1.3% decline

4

. The broader S&P 500 fell 1.4%, while semiconductor companies bore the brunt of investor anxiety about whether AI investments totaling over $1 trillion can justify soaring market valuations

2

.

Source: NPR

Source: NPR

The global stock market sell-off quickly spread beyond Wall Street, with South Korea's Kospi plummeting 10% as chipmakers SK Hynix and Samsung Electronics each dropped more than 12%

3

5

. Japan's Nikkei 225 closed 3.5% lower, reflecting widespread nervousness about the sustainability of AI spending across the semiconductor industry

3

.

Semiconductor Companies Face Mounting Pressure

Nvidia tumbled 4.2%, while Micron Technology suffered the steepest decline, plummeting 12% ahead of its quarterly earnings report

2

4

. Micron's stock represents the perfect illustration of current market dynamics, having skyrocketed approximately 800% over the past year on soaring demand for memory chips from AI infrastructure spending

2

. Intel and Advanced Micro Devices both fell over 5%, while Broadcom sank 3.1%

4

.

Source: ET

Source: ET

The decline in chipmakers accelerated after local media reported that SK Hynix is slowing expansion of AI memory chip production and shifting emphasis to cheaper commodity DRAM, sparking worries about demand for AI datacenters

5

. This development raised fundamental questions about the AI-driven market rally that has pushed tech stocks to unprecedented heights.

Investor Concerns Over AI Profitability Mount

According to Stanford University's AI Index Report, corporate investment into AI exceeded $580 billion in the past year alone, on top of over $1 trillion in the four preceding years

2

. Yet investor sentiment has shifted dramatically as market participants demand proof that AI infrastructure spending will translate into actual profits rather than marketing promises. "The market just continues to oscillate between 'AI is going to be great and increase productivity and all these companies are going to win,' and 'AI is a big waste of time and it's not worth the return on investment at all and this is all one big bubble,'" said Gil Luria, head of technology research at investment firm D.A. Davidson

2

.

Alphabet shares fell following the departure of two high-profile AI researchers last week, with the stock dropping 5% on Monday before declining another 0.8% on Tuesday

3

4

. SpaceX, which debuted on the market on June 12, dropped 16% on Monday before ticking up 1% to close at $156.11 on Tuesday

4

. The company's announcement that it seeks to raise $20 billion in a bond sale—even after gaining more than $85 billion through its IPO—sparked concerns about excessive AI and infrastructure spending increasingly financed through debt

3

.

Market Valuations Face Reality Check

The market correction comes after a relentless three-month rally that left AI stock valuations looking increasingly inflated

1

. Seven tech companies now comprise 30% of the S&P 500's value, raising bubble concerns reminiscent of the dot-com crash in the early 2000s

3

. Meta Platforms and Microsoft have entered bear market territory, with shares dropping at least 20% from their most recent peaks

4

.

Source: Market Screener

Source: Market Screener

Bank of America's Vivek Arya maintains an optimistic view, arguing that the industry is transitioning from defending initial return on investment to solving physical infrastructure and power constraints

1

. However, new data from the Bank of America Institute shows that only about 3% of its customers—mostly households earning over $125,000 annually—pay for AI services, spending a median of $20 per month

4

. Despite this limited adoption, the number of households paying for AI services has jumped 38% since 2024, and BofA Global Research expects the U.S. market could scale to $75 billion annually

4

.

Interest Rates and Economic Pressures Add Complexity

Anxiety over interest rates compounds investor concerns, as the Federal Reserve signaled last week that it may increase borrowing costs in 2026 to tackle rising inflation driven by months of elevated oil prices from the war in Iran

3

4

. Traders are betting on a nearly 90% chance the Fed will raise its federal funds rate at least once by the end of the year, up from 57% just a week ago

4

. Economists forecast that inflation for U.S. consumers will have accelerated to 4.1% in May from 3.8% in April

4

.

Morgan Stanley estimates that AI-related borrowing will surpass $500 billion this year, raising questions about whether Big Tech is spending too much on AI infrastructure while increasingly financing that spending through debt

3

. Growing concerns about cooling corporate IT budgets and broader economic pressures suggest the period of easy market gains may be over

1

.

What Comes Next for Generative AI

Market analysts remain divided on whether this represents a healthy pause or the beginning of a larger retreat for tech investments

1

. The timing is particularly significant as OpenAI and Anthropic consider selling their stocks to the market in what could become two of the largest IPOs in history

2

. Both companies now generate revenue, but the long-term profitability of generative AI remains an open question

2

.

Wall Street will closely watch upcoming corporate earnings to determine whether tech giants can prove their massive AI investments are generating real profits

1

. "What we're witnessing now is investors demanding proof instead of promises," said Nigel Green, CEO of financial consultancy deVere Group. "That shift can be uncomfortable, but it's ultimately healthy"

4

. Despite the volatility, some market participants believe dip buyers will swoop in after drops, as they have following previous corrections [5](https://economictimes.indiatimes.com/markets/us-stocks/news/k-drama-on-tech-street-ai-rout-hits-global-markets/articleshow/131952432.cms].

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved