Nasdaq Falls Nearly 3% as Intel and Amazon Trigger Fresh Technology Sell-Off

The Nasdaq Composite dropped 2.86% on October 30, 2026, recording its steepest single-day decline since June 5, as investors sold technology and semiconductor stocks following disappointing earnings outlooks from Intel and concerns about Amazon’s rapidly increasing artificial intelligence spending. The S&P 500 fell 1.82%, while the Dow Jones Industrial Average declined 1.09%.

Intel suffered the biggest blow, with its shares plunging 28.6% in their worst single-day performance since 1974. Amazon also came under pressure after its quarterly results highlighted substantial AI infrastructure investments and expectations of further spending. The sell-off reflected a growing investor concern: technology companies are committing enormous amounts of capital to AI, but markets want clearer evidence of when those investments will generate sustainable profits.

Key Takeaways

• Nasdaq Composite fell 2.86% to close at 25,437 on October 30.
• S&P 500 declined 1.82%, while the Dow Jones fell 1.09%.
• Intel shares plunged 28.6%, marking their biggest one-day decline since 1974.
• Amazon shares weakened as investors assessed its growing AI infrastructure spending.
• Nvidia dropped 4.2%, while AMD declined 10.9%.
• The Philadelphia Semiconductor Index fell 7.2%.
• Nasdaq was down 7.8% from its October 6 record closing high.
• Investors are increasingly questioning the returns from Big Tech’s AI infrastructure investments.

US Stock Market Ends October With a Sharp Technology Sell-Off

The final trading session of October brought significant losses across major US stock indexes.

The Nasdaq Composite, which has substantial exposure to technology companies, recorded the biggest decline among the three major indexes.

Major US stock market indexes on October 30

Index	Closing level	Daily change
Nasdaq Composite	25,437	-2.86%
S&P 500	7,580.07	-1.82%
Dow Jones Industrial Average	51,770.31	-1.09%

The Nasdaq’s decline was particularly significant because technology shares had led much of the market’s gains during the AI investment boom.

The index was also 7.8% below its October 6 record closing high.

For October, the technology-heavy Nasdaq and the S&P 500 recorded monthly losses, while the Dow finished the month higher.

The sell-off demonstrated how quickly investor sentiment can change when companies at the centre of a popular investment theme deliver results that fail to meet expectations.

Intel Shares Plunge 28.6% After Weak Earnings Outlook

Intel was the biggest contributor to the technology sell-off.

The chipmaker’s shares plunged 28.6% after its third-quarter results were followed by a weaker outlook for the December quarter.

Intel reported third-quarter revenue of $16.5 billion, representing growth of 21% year-on-year.

Its Data Center and AI business delivered particularly strong performance.

Intel financial metric	Q3 2026
Revenue	$16.5 billion
Year-on-year revenue growth	21%
Data Center and AI revenue	$7.3 billion
Data Center and AI revenue growth	78%
Q4 revenue guidance	$15 billion–$16 billion

Despite the growth in its data-centre business, Intel expects fourth-quarter revenue to decline from the third quarter.

The company also warned that weakness in the personal computer market could continue through at least the first half of 2027.

Intel CEO Lip-Bu Tan said demand for its CPUs remained robust despite near-term challenges across the PC industry.

However, investors focused on the weaker revenue outlook and the company’s broader financial challenges.

The market reaction was particularly severe because Intel shares had already benefited from expectations surrounding AI-related computing demand.

Amazon’s AI Spending Raises Investor Concerns

Amazon was another major source of pressure on technology stocks.

The company reported third-quarter sales of $201.9 billion, while its cloud computing division, Amazon Web Services (AWS), delivered revenue growth of 39%.

However, investors remained concerned about the amount Amazon is spending to expand its AI and cloud infrastructure.

Amazon is on track to spend approximately $220 billion in capital expenditure during 2026, with a significant portion directed towards AWS infrastructure.

The company’s latest results also highlighted substantial cash outflows linked to investment activity.

Amazon CEO Andy Jassy defended the spending strategy, saying the company had even greater confidence that its AWS investments would produce a significantly larger revenue and free-cash-flow business over time.

The company also indicated that capital expenditure could increase further in 2027.

For investors, the central question is whether the revenue generated by AWS and other AI-related services will justify the enormous infrastructure costs.

Semiconductor Stocks Join the Sell-Off

The pressure on Intel quickly spread across the semiconductor industry.

Investors sold shares of major chipmakers and AI infrastructure suppliers as concerns about technology valuations and future spending intensified.

Major technology and semiconductor stock movements

Company or index	October 30 movement
Intel	-28.6%
AMD	-10.9%
Nvidia	-4.2%
Sandisk	Approximately -13%
Reddit	Approximately -29%
Philadelphia Semiconductor Index	-7.2%

The decline in Nvidia and AMD was notable because both companies are closely associated with the global AI infrastructure expansion.

Sandisk, which has benefited from demand for AI-related storage infrastructure, also suffered a substantial decline.

The sell-off extended beyond chipmakers. Technology companies involved in server manufacturing and data-centre infrastructure also came under pressure.

This indicated that investors were reassessing the wider AI investment ecosystem rather than simply reacting to Intel’s quarterly results.

Why Investors Are Becoming Nervous About AI Spending

The technology sell-off reflects a broader debate about the economics of artificial intelligence.

Major technology companies are spending hundreds of billions of dollars on data centres, advanced processors, networking equipment and electricity infrastructure.

These investments are necessary to train and operate increasingly powerful AI models and support growing demand for AI services.

However, the spending creates several financial challenges.

1. Infrastructure costs are increasing

Building large data centres requires significant upfront investment in land, buildings, electricity systems, cooling equipment and specialised chips.

Companies must commit capital well before all the infrastructure begins generating revenue.

2. AI revenue may take time to catch up

Although demand for AI services is growing, investors are still assessing how much revenue companies can generate from subscriptions, enterprise products, advertising and cloud services.

The timing of returns remains uncertain.

3. Free cash flow is becoming more important

Free cash flow represents the money a company generates after accounting for capital expenditure.

When infrastructure investment rises sharply, free cash flow can weaken even if revenue continues to grow.

Investors are increasingly examining whether AI spending will eventually strengthen cash generation or require companies to borrow more money.

4. High valuations leave less room for disappointment

Technology companies have attracted high valuations based on expectations of future AI growth.

When earnings guidance falls short or spending rises faster than expected, investors can quickly reassess those valuations.

AI Investment Concerns Extend Beyond Intel and Amazon

The October sell-off came after a series of earnings reports from major technology companies brought AI infrastructure costs back into focus.

Microsoft, Meta, Alphabet and Amazon are collectively investing enormous amounts in computing infrastructure.

While these companies continue to report growth in several AI-related businesses, investors are increasingly interested in the financial returns from those investments.

The concerns also extend to AI developers that rely on external financing to secure computing capacity.

A recent Financial Times report said Blackstone expects Anthropic could receive a speculative-grade credit rating after its anticipated IPO, highlighting the financing challenges associated with the industry’s infrastructure ambitions.

Meanwhile, S&P Global Ratings has revised Meta’s credit outlook to negative, citing its rising AI expenditure and expected pressure on cash flow.

These developments suggest that the market is increasingly evaluating AI companies through financial measures such as capital expenditure, debt, cash generation and returns on invested capital.

Strong Corporate Earnings Have Not Prevented the Sell-Off

The broader market weakness occurred despite a relatively strong US earnings season.

According to LSEG data cited by Reuters, 82% of the 299 S&P 500 companies that had reported third-quarter results had beaten analysts’ expectations.

Analysts were forecasting year-on-year S&P 500 earnings growth of approximately 31.6%.

This suggests that the sell-off was not necessarily a reflection of widespread corporate earnings weakness.

Instead, investors were becoming more selective about companies with high valuations and large future investment commitments.

Technology companies are being judged not only on revenue growth but also on whether their AI spending can produce attractive financial returns.

The Bigger Picture

The latest market decline highlights a transition in investor expectations surrounding artificial intelligence. During the initial phase of the AI boom, companies benefited from enthusiasm about new models, chips and data-centre expansion. The market is now demanding stronger evidence that these investments can generate sustainable profits.

The AI opportunity remains substantial, but the cost of participating in it is becoming increasingly visible. Companies with strong revenue growth may still face share-price pressure if their infrastructure spending, cash requirements and earnings outlook disappoint investors.

Looking Ahead

Investors will closely monitor upcoming earnings reports, capital expenditure guidance and free-cash-flow performance from major technology companies. Intel’s ability to improve its manufacturing and financial performance, along with Amazon’s ability to turn AWS growth into stronger cash generation, will be particularly important.

The broader question for the technology sector is whether AI revenue can grow quickly enough to justify the industry’s enormous infrastructure commitments. Until investors gain greater confidence in the returns, companies with aggressive spending plans may remain vulnerable to sharp market reactions.

Frequently Asked Questions

1. Why did the Nasdaq fall nearly 3% on October 30, 2026?

The Nasdaq declined 2.86% after disappointing earnings outlooks from Intel and concerns about Amazon’s growing AI infrastructure expenditure triggered heavy selling in technology and semiconductor stocks.

2. How much did Intel shares fall?

Intel shares dropped 28.6%, marking the company’s biggest one-day decline since 1974.

3. Why did Amazon shares come under pressure?

Investors were concerned about Amazon’s substantial AI and cloud infrastructure spending, which is expected to reach approximately $220 billion in capital expenditure during 2026.

4. How much did Nvidia and AMD shares decline?

Nvidia fell 4.2%, while AMD declined 10.9% during the October 30 trading session.

5. What happened to the S&P 500 and Dow Jones?

The S&P 500 declined 1.82% to 7,580.07, while the Dow Jones Industrial Average fell 1.09% to 51,770.31.

6. Does the Nasdaq decline mean the AI boom is ending?

Not necessarily. Demand for AI services and computing infrastructure continues to grow. However, investors are increasingly questioning whether the revenue generated by AI will justify the enormous costs of building the infrastructure.

7. What is the difference between the Nasdaq Composite and Nasdaq-100?

The Nasdaq Composite includes thousands of companies listed on the Nasdaq exchange. The Nasdaq-100 tracks 100 of the largest non-financial companies listed on the exchange. Their daily percentage movements can therefore differ.