Nasdaq Falls 2.86% as AI Spending Concerns Hit Technology Stocks

Preface

Friday’s sharp decline in US technology shares put a growing investor concern in focus: the enormous sums companies are committing to artificial intelligence (AI) may take time to produce meaningful returns. Disappointing quarterly results from Intel and Amazon helped trigger a broad selloff, while pressure spread across chipmakers, server manufacturers, and cryptocurrency-linked stocks. The Nasdaq Composite fell 2.86%, its steepest single-day percentage decline since June 5, and the major indexes also finished October with mixed results.

This article examines the market’s immediate reaction and the deeper questions behind it. Investors are assessing not only AI infrastructure spending, but also funding needs, debt, core business growth, and whether companies can meet high expectations. At the same time, strong earnings across much of the broader S&P 500 and gains in energy shares show that Friday’s weakness did not affect every part of the market equally.

Lazy bag

The Nasdaq Composite dropped 2.86% on Friday after disappointing results from Intel and Amazon intensified doubts about the cost and payoff of AI investment. Intel fell 28.6%, while chipmakers and server companies also suffered steep declines. Investors are increasingly watching whether the AI spending plans of major technology companies can generate returns quickly enough, and how those plans will be financed. Yet the broader earnings picture remained comparatively firm: 82% of 299 companies reporting third-quarter results beat consensus estimates. Energy stocks gained, while cryptocurrency-related shares fell following reports of a $6.3 billion theft from Binance.

Key takeaway: Markets are distinguishing between companies that meet lofty expectations and those whose results or execution fall short, while scrutiny of AI spending continues to intensify.

Main Body

A steep technology-led selloff. The Nasdaq Composite plunged 2.86% on Friday, losing 747.73 points to close at 25,437. It was the index’s steepest single-day percentage decline since June 5. The S&P 500 fell 1.82% to 7,580.07, while the Dow Jones Industrial Average declined 572.25 points, or 1.09%, to settle at 51,770.31. The figures reflect a market session in which concerns about technology earnings and future investment returns weighed heavily on investor sentiment.

The Nasdaq has fallen 7.8% from its record closing high of October 6. The decline signals mounting unease about the durability of the rally associated with AI. Both the S&P 500 and Nasdaq ended October in the red, while the Dow recorded a monthly gain. The contrast suggests that the month’s weakness was concentrated in growth-oriented and technology-heavy shares rather than evenly distributed across the market.

Earnings reactions hit chips and servers. The immediate catalyst was the market’s response to quarterly results from Intel and Amazon, released late Thursday. Intel shares crashed 28.6%, and the disappointment contributed to heavy selling across semiconductor and server-making stocks. Nvidia declined 4.2%, Advanced Micro Devices (AMD) slumped 10.9%, and the broader semiconductor index shed 7.2%. The index’s monthly losses consequently moved beyond 15%. Server manufacturers Dell and HP fell 10.8% and 9.6%, respectively.

The broad declines indicate that investors were not reacting only to the performance of individual companies. Chipmakers and server manufacturers are closely connected to the buildout of AI computing capacity, making their share prices sensitive to questions about how much infrastructure customers will buy and when spending will translate into revenue. When earnings disappoint or companies fail to meet expectations, the market can reassess the prospects of an entire group of businesses tied to the same investment cycle.

Oliver Pursche, senior vice president at Wealthspire Advisors in New York, described the week’s focus as the future shape of AI, the prospect of a positive return on investment, and the speed at which such returns might arrive. He also noted the difference in market treatment between companies that meet lofty expectations and those that fall short or fail to execute as expected. His comments reflect a broader investor emphasis on performance and delivery, rather than AI plans alone.

The scale and financing of AI investment. According to Reuters, more than $2 trillion in market value is set to disappear from the Nasdaq 100 in October, as Big Tech earnings prompted greater scrutiny of returns on AI investments. The index has declined more than 5.8% this month. At the same time, major cloud and technology companies are raising their spending projections. Meta Platforms, Alphabet, and Amazon have signalled increased investment in AI infrastructure as they compete to expand computing capacity.

Higher projected spending has prompted questions about financing as well as potential returns. Large-scale infrastructure programs require substantial capital, and the cost of borrowing is rising. Meta’s plans for a record $97.5-billion fundraise have added to investor concerns about shareholder dilution and the financial burden of its AI ambitions. The issue is not simply whether a company can build capacity, but whether the cost of doing so is sustainable and whether that investment will create sufficient value for shareholders.

Microsoft is reportedly considering raising around $25 billion through its first US investment-grade bond sale in more than nine years. Meta, Amazon, and Alphabet have collectively issued hundreds of billions of dollars in bonds over the past four years. These borrowing plans have contributed to concerns about the technology industry’s growing reliance on debt to finance expansion. If investment needs remain high, investors may pay closer attention to balance sheets, debt servicing costs, and the possibility that capital spending could limit other uses of cash.

Forecasts indicate how large the investment cycle could become. Morgan Stanley expects capital expenditure on AI infrastructure to exceed $1 trillion next year. JPMorgan has forecast that global AI-related capital spending could reach $5.5 trillion by 2030, with around $900 billion expected to be spent in 2026. These projections do not guarantee that the spending will occur or produce a particular outcome. They do, however, illustrate why investors are weighing the potential long-term opportunity against the near-term financial commitments.

Core business performance remains part of the debate. The questions extend beyond the cost of data centers, chips, and other infrastructure. Investors are also considering whether the companies making the largest AI commitments can maintain growth in the businesses that currently generate much of their revenue. According to Bloomberg, advertising, consumer, and retail operations that underpin the biggest US technology companies are showing signs of slowing, even as their combined AI investment commitments approach $750 billion this year.

Alphabet suffered its biggest-ever one-day percentage decline on Thursday after its results raised concerns about its core search advertising business and accelerating cash expenditure. The reaction highlights the importance of established business lines: if growth in those operations weakens while investment costs rise, investors may question how quickly new AI-related revenue can offset the additional spending.

S&P Global Ratings has also taken an initial step towards potentially downgrading Meta’s credit rating within the next two years, citing pressure on its balance sheet from elevated AI-related spending, Bloomberg reported. This development adds a credit perspective to the debate. Equity investors may focus on share-price prospects and dilution, while credit analysts assess a company’s ability to manage obligations and preserve financial strength as spending increases.

Apple reclaimed its position as the world’s most valuable publicly traded company from Nvidia. Investors appeared to favour the iPhone maker amid concerns about the financial demands of the AI race. The shift does not establish that the market has rejected AI investment; rather, it suggests that some investors may prefer companies perceived as less exposed to the immediate costs and uncertainty associated with the race to expand AI infrastructure.

Some companies and sectors showed resilience. Not every technology company faced the same pressure. Microsoft and SpaceX stood out from the broader gloom, with results indicating that investments in AI are beginning to translate into business returns. Such examples help explain why investors are increasingly comparing companies’ actual results and execution instead of treating all AI-related businesses as a single group.

Corporate earnings across the wider S&P 500 remained relatively strong despite the market decline. Of the 299 companies that had reported third-quarter results, 82% exceeded consensus estimates, according to LSEG data cited by Reuters. Analysts were expecting earnings growth of 31.6% year-on-year for the quarter. These figures suggest that the technology selloff took place alongside a more favourable aggregate earnings picture, although strong results elsewhere did not prevent investors from repricing shares exposed to AI spending concerns.

Energy stocks were among Friday’s relative gainers after Exxon Mobil and Chevron reported quarterly profits above market expectations. Both companies benefited from stronger refining margins amid disruptions to global energy supplies linked to the US-Israeli war with Iran and the Russia-Ukraine conflict. Exxon Mobil rose 2.2%, while Chevron gained 2.8%. Their gains offered a contrast to the steep declines in technology shares and reflected the influence of sector-specific conditions on daily market performance.

Cryptocurrency-linked stocks moved in the opposite direction. They came under pressure following reports that hackers had stolen $6.3 billion from Binance, the world’s largest cryptocurrency exchange. Coinbase, Strategy, and Robinhood declined between 7.2% and 10.6%. The declines demonstrate how a separate security-related news event can affect connected companies and add to weakness during an already unsettled session.

Market breadth confirmed the weakness. The decline extended across a large number of listed shares. On the New York Stock Exchange, declining stocks outnumbered advancing shares by a ratio of 1.8 to 1. On the Nasdaq, the ratio widened to approximately 3 to 1, with 3,622 stocks falling against 1,196 advancing. Trading volumes across US exchanges reached 19.87 billion shares, compared with the 20-day average of 17.26 billion. Together, the breadth and volume figures show that Friday’s move was not limited to a few high-profile technology names.

Ultimately, the market’s response reflects a shift in emphasis from the promise of AI to the economics of delivering it. Investors are weighing projected infrastructure costs, financing choices, debt, core business growth, and evidence that investments can generate returns. Strong earnings in other parts of the market and company-specific examples of AI progress complicate the picture, but do not remove the central question: whether the scale and pace of spending can be justified by measurable business results.

Key Insights Table