Tech stocks tied to AI data centers took a major hit on November 4, 2026, after Democrats won control of Congress and the Texas governor race. Six data center builders fell between 17 and 23 percent, with power and cooling companies taking the brunt of the losses. Vistra dropped 13.83 percent and Vertiv fell 12.89 percent, while NVIDIA declined only 3.17 percent. Wells Fargo estimates Texas holds about 27 percent of U.S. data center power capacity, making it a focal point for investor concern. Texas Governor-elect Gina Hinojosa promised a moratorium on new data center construction, intensifying the sell-off.
Key Takeaways
- <ul><li>Democratic midterm wins on November 4, 2026 triggered sharp declines in AI data center stocks, with six builders dropping 17-23%</li><li>Texas holds roughly 27-30% of U.S. data center power capacity, and Governor-elect Gina Hinojosa promised a moratorium on new construction</li><li>Vistra fell 13.83% and Vertiv fell 12.89%, while NVIDIA dropped only 3.17% and big tech firms like Amazon, Microsoft, and Apple rose 3-7%</li><li>Google's search revenue missed expectations as AI Mode monetizes at lower rates, contributing to a 19% October stock decline</li><li>Alphabet plans $195-205B in infrastructure spending for 2026 and is now selling its TPU processors to external data center operators</li><li>SpaceX is pursuing orbital AI data centers, aiming to test systems by late 2027 to circumvent Earth's land and water limitations</li><li>Meta paused updates to its commercial terms of use after backlash over proposed rules allowing AI training on business account content</li><li>JP Morgan is developing AI risk agents to support growth in its portfolio trading business</li><li>Concentrix, which has fallen nearly 90% from its peak, is expected to see revenue pressure ease over the coming year</li><li>Insightful launched Work Intelligence products including Workforce Analytics, People Intelligence, and Process Intelligence for AI-era management</li></ul>
Midterm election results curb AI spending and hit infrastructure stocks
Democratic midterm wins on November 4, 2026 spooked investors about AI data center growth. Steve Weiss said the market sees the results as a limit on company spending. Texas is key because about 30 percent of data center projects are there. Vistra fell 13.83 percent and Vertiv fell 12.89 percent, while NVIDIA dropped only 3.17 percent. Power and cooling companies faced the biggest losses because their business is tied to specific locations.
AI data center stocks plunge after Democrats win Congress and Texas
AI data center stocks fell sharply on November 4, 2026 after Democrats won Congress and the Texas governor race. Six builders dropped between 17 and 23 percent. Hut 8 has 75 percent of its power capacity under construction in Texas. Gina Hinojosa won the Texas governor race and promised a moratorium on data center construction. Wells Fargo estimates Texas holds about 27 percent of U.S. data center power. Bigger tech companies like Amazon, Microsoft, and Apple rose between 3 and 7 percent.
Alphabet's search dominance faces risk from its own AI success
Alphabet's Google is losing search revenue because its AI Mode earns less money than traditional search. Search revenue missed expectations and made up more than half of Alphabet's 2025 revenue. The stock dropped 19 percent in October alone, wiping out $758 billion in market value. Analysts cut 2026 earnings estimates by 4.5 percent. The company also faces concerns about high spending on AI infrastructure and negative free cash flow. Some investors see the stock as cheap at about 18 times earnings.
Google's AI growth threatens its search business dominance
Google's growing AI presence is hurting its own search business. Search revenue fell short of expectations partly because AI Mode is monetized at lower rates. Alphabet shares lost almost 19 percent in October, the worst month ever for the stock. The stock now trades at about 18 times estimated earnings, down from 29 times in February. Analysts worry about competition from AI agents and heavy AI infrastructure spending. Some see the cloud business growth and low valuation as reasons to stay hopeful.
Global leaders must watch the sovereign AI race
AI has become a tool of macroeconomic power for governments and large corporations. Countries are launching subsidized efforts to build their own AI systems. Key drivers include economic competition, national security, and data governance. Companies face trade-offs between using global cloud providers and building local infrastructure. The article recommends auditing vendor dependencies and evaluating strategic supercomputing partners. HPE and AMD sponsored the piece highlighting the need to control sovereign intelligence.
Alphabet spends billions on AI servers and sells TPU systems
Alphabet spent $51.4 billion on infrastructure in the third quarter of 2026, with most money going to servers and networking equipment. The company plans to spend between $195 billion and $205 billion for the full year, expecting higher costs in 2027. Google is also selling its specialized AI processors called TPUs to customers who run their own data centers. New TPU models offer significant performance improvements over older versions, making them attractive for businesses needing powerful computing. Sales of these systems are expected to grow in the fourth quarter and continue expanding in 2027.
Elon Musk plans orbital AI data centers after Earth resistance
Elon Musk and SpaceX are exploring the idea of placing AI data centers in space to avoid Earth's limited resources like land and water. The company reported $14.6 billion in revenue for the third quarter and has 1.7 gigawatts of computing capacity as of late September. Political pressure in the United States, especially in Texas, has made building new data centers on Earth more difficult. SpaceX asked the Federal Communications Commission to approve a plan for up to 1 million satellites with solar-powered computing units. Executives aim to start testing these orbital systems by late 2027, though cooling and launch costs remain major engineering challenges.
Meta pauses new AI training terms after user backlash
Meta has put a planned update to its commercial terms of use on hold following widespread criticism from users and businesses. The proposed changes would have allowed Meta to use content from business accounts to train and improve its AI products. The update was scheduled to take effect in November but was paused after the company removed the word train from the list of allowed uses. This decision addresses concerns that the new rules were too broad regarding how user data could be utilized for artificial intelligence development.
JP Morgan develops AI risk agents for portfolio trading growth
JP Morgan is focusing on growing its portfolio trading business while developing new AI tools to manage risk. The firm is looking at how artificial intelligence can change the relationship between buyers and traders in the financial markets. Experts discuss the need for better data advancements before and after trades to support credit portfolio trading. AI agents are expected to play a larger role on future trading desks by helping analyze complex data and reduce risks.
AI stocks fall as investors worry about election uncertainty
Shares of Micron, Sandisk, and other AI-related companies dropped sharply on Thursday as investors reacted to recent midterm election results. Wall Street fears that the new political landscape might slow down the rapid growth of artificial intelligence projects. Sandisk shares were among the biggest losers in the S&P 500 index during this dramatic sell-off. The Nasdaq Composite Index also suffered its worst day in months as uncertainty about future AI momentum weighed on chip stocks.
Concentrix AI initiatives may boost growth after stock drop
Miller Value Deep Value Select Strategy bought shares of Concentrix (NASDAQ:CNXC) in Q3 2026. The company's stock has fallen nearly 90% from a high over $200 per share. Revenue pressure is expected to peak soon and lessen over the coming year. Concentrix has nearly $10B in revenue, over 300 patents, and strong free cash flow. Its AI solutions platform helps clients improve customer experience and reduce costs.
Insightful launches Work Intelligence products for AI era
Insightful released new Work Intelligence products to help leaders manage work changes driven by AI. The platform includes Workforce Analytics, People Intelligence, and Process Intelligence on one data foundation. People Intelligence shows AI Maturity, Key Person Risk, and Work Patterns for each employee. Process Intelligence maps workflows, suggests high value automations, and proves ROI. The platform is available now and goes beyond simple activity tracking.
Sources
- Steve Weiss Says the Midterms Just Put a Lid on AI Spending. Here’s Who Could Get Hurt
- Six AI Data Center Builders Drop About 20% After the Texas Vote
- Alphabet’s Search Dominance Is at Risk From Its Own AI Success
- Google’s AI success is putting its search dominance at risk
- The geopolitical stakes of AI: Why leaders must watch the sovereign AI race
- Alphabet’s AI spending, processor sales broaden ITAD outlook
- Elon Musk Wants to Put AI in Space. Earth Is Already Giving Him Enough Problems
- Everyone Everywhere Hated Meta’s New AI Training Terms. Now, They’re On Pause
- FILS Europe: JP Morgan targets portfolio trading growth and develops AI risk agents
- Micron, Sandisk and other AI stocks are falling hard: ‘Investors don’t like uncertainty’
- Can AI Initiatives Reignite Concentrix’s (CNXC) Growth?
- Insightful Launches New Work Intelligence Products to Help Leaders Transform Work in the AI Era
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