In the past 24 hours (November 26 to November 27, 2025), there have been new trends in the global artificial intelligence field in terms of employment impact assessment, computing power infrastructure going overseas, and industrial governance. U.S. research institutions quantify the potential of AI to replace jobs, China has demonstrated the effectiveness of "artificial intelligence +" through authoritative data and policy actions, and scenarios such as enterprise-level applications, medical and health care, and industrial robots have also accelerated in many countries.
1. MIT research says that AI can replace nearly 12% of U.S. jobs, affecting about $1.2 trillion in salaries
MIT launched the "Iceberg Index" to simulate the task structure of hundreds of millions of American workers in nearly 1,000 occupations, and estimate that the current AI system can theoretically replace about 11.7% of the workforce, involving about $1.2 trillion in wages. The study emphasizes that this is not an unemployment forecast, but a quantitative tool for governments and businesses to predict retraining needs and adjust education and labor policies in advance.
2. Google uses Gemini 3 to accelerate the "AI turnaround" and go head-to-head with Nvidia in computing power and financial engineering
The latest report points out that the improved word-of-mouth of Gemini 3 series models, coupled with rising demand for self-developed TPUs and more cloud cooperation, is helping Google narrow the gap with competitors in large models and cloud AI. At the same time, Google is regarded as a financial project to "copy Nvidia's style" by providing guarantees for data center projects in exchange for long-term TPU listing capabilities, while Nvidia continues to bind large model companies through large investments, and the battle between the GPU and TPU camps is extending from technology to capital and supply chains.
3. After the landing of Nvidia's African AI factory, Morocco will be listed as the focus of expansion, and the African computing power network will accelerate its formation
Following the construction of Africa's first AI factory in South Africa in cooperation with operators, Nvidia has recently prioritized the expansion of Morocco and plans to deploy more data centers and AI computing power nodes with partners in Egypt, Kenya, Morocco, Nigeria and other places in the next few years. According to the analysis, this layout is not only a response to the local "digital hub" policy, but also marks the further extension of global AI infrastructure from Europe, the United States and East Asia to Africa.
4. London's Procure AI won a $13 million seed round, focusing on an "AI native" procurement automation platform
London-based Procure AI announced the completion of approximately $13 million in seed financing, which will be used to expand its engineering team and accelerate its expansion into the UK, Nordics and other European markets. The platform claims to automate supplier sourcing, negotiation and cost analysis through "AI agents", which can shorten the sourcing cycle by an average of 3 to 40% and save several percentage points in a single procurement event, indicating that enterprise-level vertical AI applications are still the focus of capital.
5. IFS and Boston Dynamics jointly released a "full-stack autonomous" industrial AI robot solution
IFS and Boston Dynamics jointly released a new generation of AI robot system, connecting autonomous inspection robots such as Spot with IFS.ai's "agent AI" platform, forming a closed loop from perception, predictive decision-making to on-site execution. The solution targets high-risk scenarios such as energy, manufacturing, and mining, and improves safety, operation and maintenance efficiency, and equipment uptime by allowing robots to undertake high-risk inspections, thermal imaging detection, and anomaly identification.
6. China released the latest data: the scale of the AI industry exceeds 900 billion yuan, and the number of large models ranks first
in the worldAccording to the latest report released by the World Internet Conference, the scale of Chinese artificial intelligence industry has exceeded 900 billion yuan in 2024, an increase of about 24% year-on-year, and the industrial strength has entered the first echelon in the world. In terms of large models, relevant conference data shows that China has released more than 1,500 large models, accounting for nearly 40% of the global total, and the open source models of many companies have been widely adopted by overseas developers, and the ecological influence continues to expand.
7. People's Daily commented on the "artificial intelligence +" action: local governments should compete in a dislocation and make precise efforts from manufacturing to agriculture
The People's Daily commentary pointed out that "artificial intelligence +" cannot be "walked in unison" across the country, and local governments should take a differentiated path based on their own industrial base. For example, Shanghai launched the "AI+ Manufacturing" three-year action, aiming to promote thousands of manufacturing enterprises to achieve intelligent applications; Shandong Shouguang has developed "AI + agriculture", exploring breakthroughs in the fields of intelligent planting, pest identification and agricultural product traceability, reflecting the actual path of local transformation from "digitalization" to "digital intelligence".
8. Ark and Tencent Medical jointly launched a full-stack AI solution for chronic disease management, echoing the "AI + medical and health" policy
Ark, an online chronic disease management platform, and Tencent Medical announced the release of the "AI + Chronic Disease Management" full-stack solution in Shanghai, forming an integrated technology stack from large model training, scenario verification to deployment. The plan focuses on the process of chronic disease follow-up, medication management and report interpretation from hospital to home, and builds a multi-layer security mechanism based on a large-scale medical knowledge vector database, and strengthens constraints on algorithm security, privacy protection and "hallucination" control to connect with the latest "artificial intelligence + medical and health" implementation opinions.
9. The popular video of "Everest Installation Elevator" was confirmed to be AI-generated, and many places released AIGC rumor identification guidelines
The recent "Everest Elevator" graphics and videos that have been circulated on the Internet have been confirmed by relevant Tibetan departments and rumor-refuting platforms in many places to be AI-generated false content, which is a typical case of creating traffic through "realistic pictures + exaggerated words". Internet information departments in many places took the opportunity to release AIGC rumor identification methods, emphasizing the need to improve the public's ability to identify deepfake content from multiple dimensions such as information sources, detailed characteristics, logical rationality and technical detection tools, indicating that content governance for generative AI will be more normalized.
10. China's arms control white paper calls for the construction of a global governance system covering emerging areas such as outer space, cyber and artificial intelligence
The Information Office of the State Council of China released a white paper on "China's Arms Control, Disarmament and Non-Proliferation in the New Era", proposing that a global governance framework and standards should be established in emerging fields such as outer space, cyber, and artificial intelligence. The document emphasizes that these areas have become new highlands for human development and new focus of strategic security, and it is necessary to promote the formation of more binding international rules on risk assessment, technology abuse prevention and crisis management on the basis of adhering to multilateralism.
Frequently Asked Questions (Q&A)
Q: What is the biggest common trend in the global AI field in the past 24 hours?
A: First, the impact of AI on the real economy and employment has been further quantified and emphasized, and institutions have given a specific proportion of replaceable jobs; second, the global game around large models and computing power is accelerating, from the financial engineering of cloud giants to Nvidia's layout of AI factories in Africa; Third, governments and institutions have significantly increased their actions in security, governance and supervision.
Q: What are the core characteristics of China in this round of AI dynamics?
A: On the one hand, China demonstrates its volume advantage in the global ecosystem through industrial data and the number of large models, and on the other hand, it emphasizes the differentiated path of combining "artificial intelligence +" with local industries, from manufacturing, agriculture to medical and health, and takes the initiative to propose a global governance framework for emerging fields in the arms control white paper, highlighting the positioning of "responsible use of AI".
Q: What opportunities and risks do these news mean for developers and businesses?
A: The opportunity lies in the fact that AI applications in vertical scenarios (such as procurement automation, chronic disease management, and industrial inspection) are ushering in both capital and policy benefits, and open source large models and cloud platforms are also lowering the technical threshold; Regulatory signals from finance, healthcare to public opinion governance show that enterprises must incorporate data security, algorithm compliance, and controllable output into their designs when deploying AI.
Q: What are the most important directions to focus on in the future?
A: We can focus on three clues: first, how AI's long-term reshaping of the labor market will be fed back to education, vocational training and social security systems; second, will the expansion of global computing power and data centers from traditional technology powerhouses to the Global South bring about a new "AI version of the industrial chain"; Third, the international game of AI governance rules in emerging fields (especially cross-border data, military, and deepfake regulation) will directly affect the compliance costs of enterprises deploying AI services across borders.
