AI and tech stocks took a sharp turn in October, testing investor patience across the US market. Disappointing earnings from Alphabet, Amazon, and Intel weighed heavily on the sector, which fell 6.8% — its worst monthly performance since March 2025. The broader S&P 500 held relatively steady, dropping less than 1%, as investors began shifting capital away from concentrated AI positions and into other sectors. About one-third of recent US economic growth is tied to AI spending, making the pullback particularly consequential.
AMD headed into its earnings report on November 2, 2026, with investors closely watching the chipmaker's AI data center guidance. The company faces pressure to demonstrate it can sustain rapid data-center growth heading into 2027, a challenge that puts it in direct competition with Nvidia and Intel in the accelerating AI infrastructure race.
On the investment front, Microsoft is pouring roughly $175 billion into AI capacity while offering voluntary exits to about 60,000 employees. Billionaire investor Howard Marks said on November 2, 2026, that valuing AI firms like Anthropic remains deeply difficult, echoing broader skepticism about whether current AI spending reflects real value or a bubble. An advisor for small investors recommended staying calm, comparing today's AI boom to past manias like the 1990s Global Crossing fibre network and the 1840s British railway speculation.
Alterra, the UAE's $30 billion climate fund, is taking a different approach by investing in energy systems rather than AI infrastructure directly. CEO Majid Al Suwaidi described the strategy as a hedge against a potential AI bubble. Alterra partnered with Milan-based Domyn, valued at around $2 billion, to build a sovereign climate intelligence system. Domyn was selected by the European Commission to develop an open-source AI model covering all 24 EU languages.
On the technology front, researchers introduced KARU, a framework that helps large language models forget specific knowledge associations using reinforcement learning. The method suppresses unwanted information at the token level while preserving useful skills and general utility. Separately, Eco Wave Power completed the first phase of an AI-powered digital twin on November 2, 2026, developed with NVIDIA. The virtual copy of the company's wave energy converter allows testing of different wave conditions without building physical models, and the company now plans to integrate it with its real converter and explore applications in AI data center energy efficiency.
Shanghai proposed new regulations to support robotaxi services, offering legislative backing for autonomous driving deployment while maintaining controls on market access and safety. Meanwhile, two Senate Democrats raised concerns about President Trump reportedly using AI tool Grok for guidance on presidential duties, including military operations. The Treasury Department also began requiring ID.me access for purchasing US savings bonds, which Democrats flagged as a potential security risk.
Key Takeaways
- The tech sector fell 6.8% in October, its worst monthly drop since March 2025, driven by disappointing results from Alphabet, Amazon, and Intel.
- About one-third of recent US economic growth is linked to AI spending, making the stock pullback particularly significant for the broader economy.
- AMD is under pressure heading into its November 2, 2026 earnings report to show it can sustain rapid AI data center growth into 2027.
- Microsoft is spending roughly $175 billion on AI capacity while offering voluntary exits to about 60,000 employees.
- Alterra, the UAE's $30 billion climate fund, is investing in energy systems as a hedge against a potential AI bubble, partnering with Domyn at about $2 billion valuation.
- KARU, a new framework, uses reinforcement learning to help large language models forget specific knowledge while retaining useful skills and general utility.
- Eco Wave Power completed the first phase of an AI digital twin developed with NVIDIA, with potential applications in AI data center energy efficiency.
- Shanghai proposed regulations to support robotaxi deployment while maintaining safety and market access controls.
- Two Senate Democrats questioned President Trump's reported use of AI tool Grok for guidance on military and presidential duties.
- The AI heart sound analytics market is projected to grow from $0.68 billion in 2025 to $1.91 billion by 2030, while AI remote physiotherapy is expected to reach $6.44 billion.
AI Heart Sound Analytics Market Set to Hit $1.91 Billion by 2030
The AI heart sound digital twin analytics market is growing fast. It is expected to rise from $0.68 billion in 2025 to $1.91 billion by 2030. The growth is driven by more cardiovascular diseases and the use of AI for early detection. The technology builds virtual heart models to help doctors monitor and treat patients. Rising demand for personalized medicine also fuels this market.
AI Remote Physiotherapy Market Projected to Reach $6.44 Billion by 2030
The AI enhanced remote physiotherapy market is expanding quickly. It is expected to grow from $2.12 billion in 2025 to $6.44 billion by 2030. AI helps patients do exercises at home with real-time feedback from software. Rising healthcare spending and more chronic diseases push this growth. North America leads the market, while Asia-Pacific is growing the fastest.
AI Market in Respiratory Diseases to Grow at 5% CAGR
The AI market in respiratory diseases is growing steadily. It is projected to rise from $7.98 billion in 2025 to $10.19 billion by 2030. AI tools help doctors diagnose conditions like asthma and COPD using imaging and data analysis. Pollution and rising respiratory illnesses drive this demand. North America holds the largest share, while Asia-Pacific is the fastest-growing region.
October AI Stock Slide Tests US Market Resilience
A sharp drop in AI and tech stocks is testing investors in October. Disappointing results from Alphabet, Amazon, and Intel hurt the AI trade. The S&P 500 stayed mostly steady, but the tech-heavy Nasdaq struggled. Investors are shifting money into other sectors. The tech sector fell 6.8% in October, its worst monthly drop since March 2025.
AI Stock Dive Puts Pressure on Broader US Market
A steep decline in AI and tech stocks is challenging investors. Disappointing earnings from Alphabet, Amazon, and Intel added to concerns. The S&P 500 tech sector fell 6.8% in October, but the overall index dropped less than 1%. Investors are reducing AI concentration risk and diversifying. About one-third of recent US economic growth is linked to AI spending.
AMD prepares for earnings as AI data center growth expectations rise
AMD is heading into its earnings report with investors focused on its AI guidance. The company is being watched to see if it can keep up rapid data-center growth into 2027. The report was published on November 2, 2026. Advanced Micro Devices Inc. is the company behind the chip brand.
Small investors should stay calm amid AI investment hype
An article advises small investors to do nothing about the AI investment boom. It compares the current AI spending to past bubbles like the 1990s Global Crossing fibre network and the 1840s British railway mania. Microsoft is spending about $175 billion on AI capacity while offering voluntary exits to 60,000 employees. The author says no one can tell if AI is a boon, a disaster, or a bubble.
New method helps large language models forget unwanted knowledge
Researchers introduced KARU, a framework that helps large language models forget specific knowledge associations. The method uses reinforcement learning to suppress unwanted information while keeping useful skills. It works at the token level and uses distribution-level regularization for precise removal. Experiments showed improved forgetting effectiveness while maintaining comparable retention and general utility across diverse LLMs.
Alterra invests in energy systems to hedge against potential AI bubble
Alterra, the UAE's $30 billion climate fund, is investing in energy systems rather than direct AI infrastructure. CEO Majid Al Suwaidi says this serves as a hedge against a potential AI bubble bursting. Alterra partnered with Milan-based Domyn, valued at about $2 billion, to build a sovereign climate intelligence system. Domyn was chosen by the European Commission to develop an open-source AI model covering all 24 EU languages.
Shanghai proposes new rules to support robotaxi services
Shanghai is proposing regulations to promote autonomous driving in taxi services. The draft rules would provide legislative support for robotaxi deployment while keeping controls on market access and safety. The regulations were reviewed by the city's legislature and are open for public comment. Chinese cities are expanding opportunities for autonomous vehicle technology.
Eco Wave Power finishes first phase of AI digital twin for wave energy
Eco Wave Power announced it completed the first phase of an AI-powered digital twin on November 2, 2026. The digital twin is a virtual copy of the company's wave energy converter that allows testing of different wave conditions and setups without building physical models. The project was developed with NVIDIA, which issued a support letter for the initiative. The company now plans to integrate the digital twin with its actual wave energy converter and test various scenarios. It also sees potential uses for the technology in AI data centers for better energy efficiency.
Howard Marks explains why valuing AI firms like Anthropic is difficult
Billionaire investor Howard Marks, co-founder and co-chairman of Oaktree Capital Management, discussed why it is hard to value AI companies such as Anthropic. His remarks were reported by Business Insider on November 2, 2026. Marks is known for his cautious approach to investing. The article highlights the challenges investors face when trying to determine the worth of AI-focused firms.
Senate Democrats question Trump's reported use of AI for military guidance
Two Senate Democrats raised concerns about President Trump allegedly using AI tool Grok to seek advice on carrying out presidential duties, including military operations. The report comes amid broader scrutiny of AI use in government decision-making. The Treasury Department also recently began requiring ID.me access for buying U.S. savings bonds, which Democrats called a potential security risk. The story was covered by FedScoop.
Sources
- Artificial Intelligence (AI) Heart Sound Digital Twin Analytics Market Projected to Reach $1.91 Billion by
- The Artificial Intelligence (AI) Enhanced Remote Physiotherapy Market Is Projected to Grow to $6.44 Billion by
- The Artificial Intelligence (AI) Market in Respiratory Diseases is Set to Experience Steady Growth at a 5%
- Analysis:October dive for AI-related shares tests broader US stock market's resilience
- Analysis-October dive for AI-related shares tests broader US stock market's resilience
- AMD Heads Into Earnings With AI Guidance in the Spotlight
- AI investment frenzy: What small investors should and should not do
- What Should LLMs Forget: Reinforcement Unlearning of Knowledge Associations
- Alterra's investments designed to hedge against AI bubble, says chief executive
- Shanghai proposes legal backing for robotaxis in rules overhaul | MLex | Specialist news and analysis on legal risk and regulation
- Eco Wave Power Completes First Phase of AI-Powered Digital Twin, Advancing Intelligent Wave Energy and Future AI Data Center Applications
- Howard Marks laid out why valuing AI companies like Anthropic is tough
- Did Trump use AI to inform military operations?
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