Major US tech stocks slide sharply this week as investors balked at hundreds of billions of dollars in artificial intelligence infrastructure spending, wiping out nearly $1 trillion in market value across the Nasdaq exchange following lacklustre quarterly earnings from Alphabet, Amazon, and Intel.
Key points
- Alphabet, Amazon, Meta, Microsoft, and Oracle are committed to spending $800.6 billion combined on capital investments in 2026.
- Alphabet shed more than $500 billion in a single day after disclosing rising AI commitments and slower search ad revenue growth.
- Intel stock plummeted roughly 30 percent after forecasting subdued chip demand and escalating equipment outlays.
- Publishers and platforms such as Reddit face compounding pressure as AI search tools reduce traditional referral traffic.
Hyperscale spending triggers market retreat
The tech-heavy Nasdaq composite fell more than 3 percent on Friday, capping a volatile week that erased approximately $1 trillion in valuation. Disappointing quarterly figures and aggressive capital expenditure budgets from the sector’s largest firms unnerved market participants who had driven equities to record highs earlier in October.
Losses accelerated on Friday morning when Amazon opened down roughly 2 percent before settling lower. While Amazon reported sustained demand in its cloud computing division, the firm revealed that its capital expenditures for 2026 had reached $220 billion. Much of that capital is dedicated to data centres, bespoke server hardware, and networking gear required to train and run generative AI models.
Amazon disclosed that it spent more cash than it generated during the period, with outlays multiplying sixfold across a single quarter. The spending trajectory rattled equity markets, leading to broader declines that NBC News observed across major technology holdings including Apple, Microsoft, and Nvidia.
Alphabet and Intel suffer historic drops
The sell-off followed a record single-day plunge for Alphabet on Thursday. Shares in Google’s parent company tumbled 12.6 percent, wiping out more than $500 billion in market capitalisation. It was the worst single trading session in Alphabet’s history and the second-largest one-day loss ever recorded by an individual public firm.
During its Q3 earnings call, Alphabet reported rising revenue, but figures arrived weaker than expectations among equity analysts. Regulatory disclosures showed Alphabet faces $98 billion in potential future commitments on top of an existing $1 trillion pipeline, largely tied to computing facilities and hardware contracts. Alphabet raised its projected 2026 capital spending to $205 billion.
Intel faced an even steeper drop on Friday, shedding nearly 30 percent of its market value, or more than $130 billion. The decline marked one of Intel’s most severe trading days since 1974. David Zinsner, Intel’s chief financial officer, said the chipmaker did not expect to generate net positive cash flow this year. He cautioned that weakness in the personal computer market would persist into the first half of 2027, even as Intel expands factory equipment purchases.
Can AI revenues justify the infrastructure bill?
The steep market reaction reflects mounting investor unease over whether generative AI can generate profits proportional to its immense development costs. Five corporate giants, Meta, Alphabet, Oracle, Amazon, and Microsoft, have budgeted $800.6 billion between them for infrastructure in 2026 alone.
These investments rely on the premise that massive centralised data centres are necessary to capture commercial market share. Yet commercial returns have developed slowly. In an interview, Rohit Chopra, the former federal consumer protection regulator, told Politico that investors feel locked into the expansion.
“Many in the market feel we have no choice but for it to work out,” Chopra said. He warned that if hypotheses about growth fail, significant economic disruption could follow.
The debate has divided market analysts. While public tech titans absorb massive capital requirements, smaller software developers continue seeking private capital; for example, AI assistant startup Wabi raises $55m to build consumer-facing tools without operating heavy infrastructure. Some market analysts question whether the hyperscale model of building gigantic server campuses can compete long-term against smaller, specialised models that run at a fraction of the operating cost.
Downstream disruption hits web platforms
The aggressive push to integrate artificial intelligence into existing products has also caused friction with proven revenue engines. Alphabet’s core search business showed signs of strain as automated summaries took priority on result pages.
Philipp Schindler, Alphabet’s chief business officer, acknowledged that click-through rates on search advertisements declined because of features such as AI mode. While Google recorded higher total search queries, the financial return per query diminished.
That shift created collateral damage for independent online platforms. Reddit shares sank 26 percent on Friday after the platform posted slower daily user growth and warned of falling search traffic. Reddit disclosed that external referral traffic from Google had dropped by more than 1 million visits per week. Steve Huffman, Reddit’s chief executive, attributed the loss directly to Google’s automated overviews answering queries before users click through.
Reddit announced plans to require user logins to view discussions in an attempt to block automated data scrapers from harvesting forum text without compensation. Gaming platform Roblox also fell nearly 20 percent on Friday following lower daily active user metrics.
What happens next for the AI trade?
Despite the sharp drops recorded on Thursday and Friday, major technology valuations remain higher than their levels twelve months ago. The Nasdaq index retains a 7.6 percent gain over the past year, while Amazon remains up approximately 7 percent over the same period.
Even so, institutional patience appears thin. Kathleen Brooks, research director at trading firm XTB, said that investors have turned ruthless toward third-quarter earnings disappointments. She pointed out that while the AI trade enjoyed strong momentum over recent years, markets now demand immediate financial returns on capital expenditures.
Tech companies face a test in November, typically a strong month for US equities. If public valuations fail to stabilise, corporate boards may face immediate pressure to slow hardware orders and scale back server deployment plans for 2027.
