Tech Stocks Plunge: $2T Evaporates as AI Spending Questions Mount

Tech stocks took a sharp beating in October as investors questioned whether massive AI spending would ever pay off. More than $2 trillion in Nasdaq-100 market value evaporated during the month, pushing the index into its third correction of the year. Alphabet shares fell 12% in a single session, Amazon dropped 7%, and Meta slid 10%. The Philadelphia Semiconductor Index plunged 3.37%, with Intel falling 8.80%. Only Microsoft managed to stay positive in free cash flow among the major AI spenders.

Big Tech's combined 2026 capital spending on AI data centers is estimated at $828 billion, and Amazon, Microsoft, Google, and Meta are on track to spend over $720 billion this year on AI infrastructure alone. Most of these companies are now spending more on data centers than they earn from operations. Oracle plans to raise $20 billion through debt and equity, adding to concerns about heavy borrowing across the sector. Meanwhile, cloud growth remains strong, with Azure up 48% and AWS expanding about 39%, showing that AI demand is real even if profitability remains uncertain.

An analysis of 47 AI-related stocks found they accounted for about 60% of the S&P 500's gains, and during the first half of 2026, that figure jumped to roughly 75%. Investors have drawn comparisons to the dot-com bubble of the late 1990s as they worry whether $800 billion annual spending can sustain without cash flow problems. Google Cloud's strong revenue growth offers a glimmer of hope, but investors now want clear proof that AI investments will generate sustainable profits.

On the security front, Northflank warned customers to rotate all credentials after a breach exposed AI API keys, with attackers reportedly making millions of dollars in API calls using stolen credentials. Trigger.dev also disclosed that customer environment variables may have been exposed. Wiz reported at least nine attacks on AI developer platforms during October. Separately, hackers are using an open-source AI tool called ARTEX to automate network attacks against Windows systems, linked to a China-linked hacking group targeting government and technology organizations.

Not all news is negative. Cisco's president gave an engineer unlimited AI tokens to test whether a two-person team could refactor 98% of legacy code within 24 months. Itaú bank in Brazil used AI to cut mainframe migration time by up to 70% and speed up project delivery by 3.3 times. Google Cloud launched free AI courses for financial services and legal teams. Meta reported $63.1 billion in ad revenue, crediting AI for improved ad creation and targeting. Alibaba will provide cloud and AI technology for the Dakar 2026 Summer Youth Olympic Games in Senegal. SpaceX signed a binding $40 billion AI hardware leasing agreement and is reportedly in talks to acquire Boost Mobile.

Key Takeaways

  • Nasdaq 100 fell 1.39% to 27,989.82, dropping over 10% from its October high into its third correction of the year
  • Big Tech's combined 2026 AI data center spending estimated at $828 billion, with Amazon, Microsoft, Google, and Meta spending over $720 billion on AI infrastructure
  • Alphabet stock fell 12% in one session, Amazon dropped 7%, Meta slid 10%, while Microsoft stayed positive in free cash flow
  • Oracle plans to raise $20 billion through debt and equity, adding to concerns about heavy borrowing in the sector
  • Cloud growth remains strong with Azure up 48% and AWS expanding about 39%, showing real AI demand despite profitability concerns
  • AI-related stocks accounted for about 60% of S&P 500 gains, and roughly 75% during the first half of 2026
  • Northflank and Trigger.dev both disclosed security breaches exposing customer AI credentials, with at least nine attacks on AI developer platforms reported in October
  • Cisco engineer given unlimited AI tokens to refactor 98% of legacy code; Itaú bank cut mainframe migration time by 70% using AI
  • Meta reported $63.1 billion in ad revenue with AI improving ad creation and targeting, while Google search ad revenue of $82 billion missed expectations
  • SpaceX signed a $40 billion AI hardware leasing agreement and is reportedly in talks to acquire Boost Mobile

Tech Stocks Slide as AI Spending Questions Mount

The U.S. stock market saw a sharp selloff in October due to concerns over AI spending and high interest rates. More than $2 trillion in Nasdaq-100 market value was lost during the month. Companies like Alphabet, Amazon, and Meta reported negative free cash flow from massive AI investments. However, strong growth in Google Cloud revenue shows AI demand remains real. Investors now want clear proof that AI spending will generate sustainable profits.

Nasdaq 100 Enters Third Correction Amid AI Doubts

The Nasdaq 100 fell 1.39% to 27,989.82, dropping more than 10% from its October high into its third correction of the year. The Philadelphia Semiconductor Index plunged 3.37%, with Marvell Technology down 12.72% and Intel down 8.80%. The selloff was driven by doubts about whether AI infrastructure spending will generate profits. Oracle plans to raise $20 billion through debt and equity, adding to concerns about heavy borrowing. The Dow Jones Industrial Average rose 0.41%, showing a split between tech and traditional stocks.

AI Capex Hits $828 Billion as Nasdaq Falls 2.9%

Big Tech's combined 2026 capital spending on AI data centers is estimated at $828 billion. Alphabet's stock fell 12% in one session, while Amazon dropped 7% and Meta slid 10%. The Nasdaq closed down 2.9% during the sell-off. Microsoft was the only major spender that stayed positive in free cash flow. Cloud growth remains strong, with Azure up 48% and AWS expanding about 39%. Investors worry whether $800 billion annual spending can sustain without cash flow problems.

Fact Check: How Much Is the Market Reliant on AI?

An analysis of 47 AI-related stocks found they accounted for about 60% of the S&P 500's gains in the period studied. During the first half of 2026, those stocks made up roughly 75% of the index's gains. Amazon, Microsoft, Google and Meta are on track to spend over $720 billion this year on AI infrastructure. Most of these companies are spending more on data centers than they earn from operations. Concerns about AI investments have drawn comparisons to the dot-com bubble of the late 1990s.

Northflank Security Breach Exposes Customer AI API Keys

Northflank warned customers to rotate all credentials after a security breach led to unauthorized use of AI API keys. The cloud platform disclosed the incident on October 30 after receiving a threat alert from Wiz. Customers were told to assume all environment variables had been decrypted and secrets were stolen. Wiz reported at least nine attacks on AI developer platforms during October. In some cases, attackers used stolen credentials to make millions of dollars in AI API calls. Northflank has not revealed how many customers were affected.

Trigger.dev AI platform exposes customer environment variables in security breach

Trigger.dev, a cloud-hosted AI workflow platform, disclosed that customer environment variables may have been exposed in a security incident. The company blocked the exploit and notified affected customers about steps to prevent further problems. Environment variables often contain sensitive credentials that can give attackers access to connected services. Trigger has high-profile customers including Emporio Armani and GovSignals, but the company has not identified which organizations were affected.

Cisco gives engineer unlimited AI tokens to rewrite 98 percent of legacy code

Cisco's president gave an engineer unlimited AI tokens to test whether a two-person team could refactor 98 percent of the company's legacy code within 24 months. Itaú bank in Brazil used AI to cut mainframe migration time by up to 70 percent and speed up project delivery by 3.3 times. The bank validated every AI-generated rule and its code passed security checks on the first pass. Banks typically spend 70 to 85 percent of their IT budgets maintaining older systems.

Google Cloud offers free AI courses for financial services and legal teams

Google Cloud launched free, industry-specific AI courses with video bundles for financial services and legal teams. The courses help professionals work smarter with agentic AI in areas like market portfolio management and compliance reviews. Registrants for the GEAR program receive 35 credits to explore interactive training environments on Google Skills. Google Cloud also announced agentic AI solutions for these industries back in August.

Meta ad business grows with AI while Google search revenue slows

Meta reported 63.1 billion dollars in ad revenue as AI helped improve ad creation and targeting. Google's search ad revenue of 82 billion dollars missed expectations due to slower growth from AI Mode usage. Google CEO Sundar Pichai sees AI Mode as an expansion opportunity since those queries are three times longer than traditional searches. Meta benefits from AI through better ad matching and algorithms that keep users on platforms longer.

KOSME supports 14 startups at Industrial AI Expo in South Korea

KOSME supported 14 Youth Startup Academy graduate companies at the 2026 Industrial AI Expo held at KINTEX in Goyang, Gyeonggi Province. The pavilion drew 2,634 visitors, with 834 product consultations and 143 potential buyers identified. Company Ogane Program received inquiries from Japan's SANX and discussed partnerships with Indonesia's ECOTEL. KOSME provides follow-up support to help graduates expand sales channels at home and abroad.

Alibaba powers first Youth Olympic Games in Africa with cloud and AI

Alibaba Group will provide cloud and AI technology for the Dakar 2026 Summer Youth Olympic Games in Senegal. The company will deploy a private cloud platform to handle ticketing and e-visa processing across seven venues. After the Games, the cloud infrastructure will be handed over to Senegal as a national platform. Alibaba's Qwen AI models and WAN video generation tool will also support event operations and engagement.

Hackers use ARTEX AI tool to automate network attacks

Hackers are using an open-source AI tool called ARTEX to attack Windows networks with minimal human help. The tool maps networks, steals service account passwords, and moves across systems in seconds. It has been linked to a China-linked hacking group and used against government and technology organizations. Microsoft and Google say the tool speeds up attacks but leaves detectable traces that defenders can spot.

UAlbany researcher studies AI trust in political campaigns

A University at Albany researcher studied how voters react to AI use in political messaging. The online survey included 3,055 U.S. participants in June and July 2024. The study found that people trusted AI-assisted messages more when their own party was involved and were more skeptical when the opposing party used AI. The researcher calls for transparency and digital literacy to help voters judge AI-assisted political content.

SpaceX faces $40 billion GPU lease and Boost Mobile talks

SpaceX signed a binding agreement for a $40 billion AI hardware leasing framework with an Apollo-managed vehicle. The deal is meant to support the company's work on advanced technologies including Starship. SpaceX is also reportedly in talks to acquire Boost Mobile. The moves signal SpaceX is expanding beyond space into telecommunications and AI infrastructure.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Spending Tech Stocks Investor Concerns Data Center Spending Cloud Growth AI Security Breaches AI Benefits Legacy Code Refactoring Mainframe Migration Ad Revenue AI Hardware Acquisition Talks Profitability Concerns AI Infrastructure AI Developer Platforms

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