The AI sector is buzzing with significant developments across investment, policy, and practical applications as of late November 2025. Governments are actively shaping AI strategies, often favoring large technology companies, according to Alexandra Ebert, who notes that leaders in the US, UK, and EU are directing billions to support Big Tech's vision for AI. This approach, she argues, stems from policymakers' reliance on big company executives for guidance, leading to a focus on massive AI models and data centers. Meanwhile, Mark MacCarthy warns of an impending AI investment bubble, comparing current spending on infrastructure to the dot-com era, driven by what he calls an unrealistic pursuit of Artificial General Intelligence. He advises policymakers to protect electricity users and consider public ownership of energy assets. Geopolitical considerations are also at play, with Ryan Fedasiuk reporting on November 24, 2025, that the White House may be opposing the GAIN AI Act. This act aims to restrict China's access to advanced US AI chips while facilitating exports to US allies, thereby bolstering American leadership in global AI infrastructure. Concurrently, Chinese manufacturers are significantly profiting from the global AI boom, having shipped US$7.3 billion worth of transformers and US$4.3 billion in high-voltage gas-insulated switchgears in the first ten months of 2025. These products are crucial for building the extensive data centers and computing facilities required by the rapidly expanding AI industry worldwide. In the realm of AI security, a new partnership between Abu Dhabi's Inception, an AI innovator, and Ireland's Mirror Security, announced on November 24, 2025, aims to develop advanced AI security products for governments and businesses. This collaboration addresses the growing concern among leaders about new AI threats and the need for robust solutions to ensure data privacy and regulatory compliance. Simultaneously, AI is transforming retail investing, with platforms like SmartT using hybrid systems to make copy trading safer. SmartT's AI platform, for instance, checks various factors like volatility and liquidity before allowing trades, blocking them if conditions are unsafe, a significant shift from older predictive bots towards real-time risk management. The AI talent landscape is also dynamic, with Tesla experiencing the departure of key AI and robotics engineers to Sunday Robotics, a new startup founded by Stanford roboticists Tony Zhao and Cheng Chi. Sunday Robotics recently secured $35 million in funding and is developing Memo, a wheeled domestic robot, using innovative 'Skill Capture Gloves' for data collection. In other developments, Fei-Fei Li, often called the "godmother of AI," is advising world leaders and leading Cohere, an AI company focused on human-centered AI. Meanwhile, author Karen Hao, in her new book "Empire of AI," critically examines OpenAI, noting its secretive culture and shift to a for-profit structure, drawing parallels between modern AI companies and historical empires, akin to the mythology-building in Frank Herbert's Dune.
Key Takeaways
- Governments in the US, UK, and EU are directing billions to support Big Tech's AI vision, often relying on large company executives for guidance.
- Mark MacCarthy warns of an AI investment bubble, comparing current infrastructure spending to the dot-com era and calling the pursuit of Artificial General Intelligence unrealistic.
- The White House reportedly opposes the GAIN AI Act, which aims to restrict China's access to advanced US AI chips while easing exports to allies.
- Chinese manufacturers shipped US$7.3 billion in transformers and US$4.3 billion in high-voltage gas-insulated switchgears in the first 10 months of 2025, crucial for global AI data centers.
- Inception (G42) and Mirror Security partnered on November 24, 2025, to develop advanced AI security products for governments and businesses, addressing rising AI threats.
- SmartT uses AI to enhance retail copy trading safety by checking market conditions like volatility and liquidity in real-time, blocking unsafe trades.
- Tesla is losing key AI and robotics engineers, including Nishant Desai, Nadeesha Amarasinghe, and Perry Jia, to Sunday Robotics, a new startup that raised $35 million.
- Sunday Robotics, founded by Tony Zhao and Cheng Chi, is developing Memo, a wheeled domestic robot, and uses 'Skill Capture Gloves' for training data.
- Fei-Fei Li, "godmother of AI," advises world leaders and leads Cohere, an AI company focused on human-centered AI development.
- Karen Hao's book "Empire of AI" critiques OpenAI's secretive culture and shift to a for-profit model, comparing modern AI companies to historical empires.
SmartT uses AI to make copy trading safer
Retail investing is changing with new hybrid systems like SmartT, which combine human traders' intuition with AI's strict rules. Traditional trading bots often fail in unusual markets because they rely on past data. Human traders are good at understanding market context and avoiding risky times. SmartT's AI platform checks traders' actions for safety before trades happen, protecting users from market instability. This makes copy trading more reliable and less risky for investors.
AI trading tools offer benefits but have risks in 2025
AI trading tools are changing how people invest in 2025. These tools can quickly analyze market data like Bitcoin prices and economic trends to help predict future movements. However, AI has not yet learned to make human-like decisions, and its predictions can sometimes be wrong. This means traders still face real risks of losing money if they rely only on AI without understanding the markets themselves. The article suggests that while AI is evolving, human knowledge remains important for successful trading.
SmartT uses AI to protect retail traders from market risks
On November 24, 2025, retail traders are increasingly using AI to make safer decisions in volatile financial markets. Platforms like SmartT are leading this shift by focusing on risk management instead of just predicting market moves. SmartT's AI system checks many factors like volatility and liquidity before allowing a trade to happen, blocking it if conditions are unsafe. This new approach helps protect traders from common mistakes and market instability, unlike older copy trading models that lacked strong risk controls. The trend shows a move away from predictive bots towards systems that validate trades in real-time for better safety.
Inception and Mirror Security partner for AI security solutions
Inception, an AI innovator from Abu Dhabi, and Ireland's Mirror Security have formed a partnership. They will work together to create advanced AI security products for governments and businesses. This agreement addresses the growing need for strong AI security, as many leaders worry about new AI threats and feel unprepared. The goal is to help organizations use AI safely and scale it up while keeping data private and meeting rules. This collaboration also supports the UAE's goal of building a reliable AI ecosystem.
Inception and Mirror Security boost regional AI cybersecurity
On November 24, 2025, G42's Inception and Mirror Security announced a partnership to improve AI cybersecurity. This collaboration aims to meet the high demand for strong AI security solutions in the region. Many cybersecurity leaders are concerned about new AI threats and feel unprepared for them. The two companies will help governments and businesses use AI safely, ensuring privacy and following rules. This effort also supports the UAE's goal of creating a reliable and competitive AI ecosystem.
Karen Hao compares AI world to Dune in new book
On November 23, 2025, author Karen Hao discussed her new book, Empire of AI, which examines OpenAI and its narratives. Hao, a former journalist, found that OpenAI struggled to explain its goals of benefiting humanity or defining artificial general intelligence. She observed a secretive culture and a shift towards a for-profit structure within the company. Hao draws a parallel between modern AI companies and historical empires, noting how they claim resources like people's data. She suggests that the AI world, particularly around figures like Sam Altman, resembles the mythology-building seen in Frank Herbert's book Dune.
Chinese manufacturers profit from global AI boom
Chinese manufacturers are greatly benefiting from the worldwide increase in AI investments. In the first 10 months of 2025, China shipped US$7.3 billion worth of transformers and US$4.3 billion in high-voltage gas-insulated switchgears. These products are vital for building the large AI data centers and computing facilities needed globally. The high demand for AI services has led to more orders for Chinese companies making electrical equipment. This shows China's important role in supplying the basic hardware for the fast-growing AI industry.
White House risks AI leadership by opposing GAIN AI Act
On November 24, 2025, Ryan Fedasiuk reported that the White House might be working against the GAIN AI Act. This act aims to stop China from getting advanced US AI chips while making it easier to send them to US allies. The bill would create a "trusted United States persons" group, allowing US companies to export AI chips to their data centers abroad more easily. This strategy would help the US maintain its leadership in AI infrastructure globally. However, the White House's reported opposition is confusing, as the act supports the administration's own AI goals, possibly due to a focus on short-term profits from sales to China.
Policymakers must prepare for the AI investment bubble to burst
On November 24, 2025, Mark MacCarthy warned that an AI investment bubble is forming and policymakers need to act now. He argues that current spending on AI infrastructure, like massive data centers, is much higher than future returns will justify. This situation is similar to the dot-com bubble, driven by companies racing to achieve Artificial General Intelligence, which he calls an unrealistic goal. MacCarthy suggests three steps for policymakers: protect electricity users from high costs, consider buying failed energy assets for public use, and focus AI support on practical applications like healthcare and education.
Governments favor Big Tech in AI strategy says expert
On November 24, 2025, Alexandra Ebert argues that governments are prioritizing large technology companies in their AI strategies. She states that leaders in the US, UK, and EU are shaping regulations and spending billions to support Big Tech's vision for AI. Ebert believes this happens because policymakers struggle to understand AI's impact and rely on big company executives for guidance. These executives promote building massive AI models and data centers as the main solution for everything. She suggests governments should instead listen to a wider range of experts, including small businesses and ethicists, to create a more inclusive AI ecosystem.
Fei-Fei Li AI godmother advises world leaders
On November 24, 2025, Fei-Fei Li, known as the "godmother of AI," is advising world leaders and running a billion-dollar startup. She immigrated to the US at 15 and managed her parents' dry-cleaning business while studying physics at Princeton. Li revolutionized AI by creating ImageNet, a massive dataset of 15 million labeled images, which helped neural networks achieve breakthroughs in image recognition. Today, she is a Stanford professor and leads Cohere, an AI company focused on human-centered AI development. She also serves on the UN's scientific advisory board, guiding ethical AI use globally.
Tesla AI talent moves to new robotics startup Sunday Robotics
Tesla is losing key AI and robotics engineers to a new startup called Sunday Robotics. Sunday Robotics, founded by Stanford roboticists Tony Zhao and Cheng Chi, recently raised $35 million in funding. Several senior Tesla engineers, including Nishant Desai, Nadeesha Amarasinghe, and Perry Jia, have joined Sunday Robotics from Tesla's Optimus and Autopilot teams. Sunday Robotics is developing Memo, a wheeled domestic robot designed for household chores, focusing on dexterity rather than walking. The startup collects training data using affordable 'Skill Capture Gloves' from hundreds of people, a different and potentially more efficient method than Tesla's.
Sources
- How AI Enhanced Copy Trading Is Shaping the Future of Retail Investing: A Deep Dive Into SmartT’s Hybrid Model
- AI trading tools and bots: Do they actually help traders in 2025? - London Business News
- AI Risk-Driven Copy Trading Systems Gain Momentum as Retail Investors Seek Better Protection
- PRESSR: Inception and Mirror Security announce Sstrategic agreement to co-develop next-generation AI security solutions
- G42’s Inception Joins Forces with Mirror Security to Strengthen AI Cybersecurity in the Region
- Karen Hao, author, discusses the mythology of artificial intelligence: “The best way to understand the AI world is ‘Dune’”
- Chinese manufacturers gain from AI investment boom
- The White House Risks Squandering Its Own AI Leadership
- Policymakers Have to Prepare Now for When the AI Bubble Bursts
- Our governments have sold AI out to Big Tech
- She ran her parents' dry cleaner at 18. Today, the 'godmother of AI' is advising world leaders and running a billion-dollar startup
- Tesla is bleeding AI talent to a small new robotics start-up
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