Author: lethuphuong

📌 The Framework Act on AI Development and Trust Foundation, also known as the AI Basic Act, will officially take effect on January 22, 2026, in South Korea. The Presidential Council on National AI Strategy is granted legal status, becoming the central hub for coordinating and overseeing AI policy. The government is empowered to require businesses to submit data and to conduct on-site inspections. The public sector is required to prioritize the procurement and use of AI products and services to stimulate market demand. Civil servants implementing AI will be immune from personal liability absent intent or gross negligence. The…

📌 China officially launched a super-powerful scientific AI system on December 23, 2025, just one month after US President Donald Trump announced the Genesis Mission – a project likened to an “AI Manhattan Project.” Tasks that used to take a scientist a working day now take only about 1 hour. While the US’s Genesis Mission is still bound by a 270-day deadline, China has demonstrated actual operational capability, showing that scientific AI is becoming a new strategic front in global technology competition.

📌 2026 is a turning point for the work environment, as old management models no longer fit AI, flexible work, and new employee expectations. Microshifting – working according to natural energy rhythms instead of a fixed 8 hours – is redefining productivity. The “AI-augmented workforce” emerges, where humans focus on creative thinking, decision-making, and problem-solving, while AI handles repetitive tasks like summarizing, scheduling, and researching. Recruitment shifts from technical skills to emotional intelligence, communication, and judgment. Continuous training replaces periodic programs, emphasizing the cycle of learning, unlearning old knowledge, and relearning.

📌 AI is reversing the cloud-first mindset that was once considered the default. With rising costs, low latency requirements, data sovereignty, and system durability, the hybrid model is emerging as the balanced solution. Cloud remains important for testing and scaling, but on-premises and edge are returning to the center for large-scale production AI. For businesses wanting to optimize return on investment, AI forces the design of flexible infrastructure rather than relying on a single option.

📌 The new draft regulation shows that China wants to strictly control AI with emotional capabilities, viewing psychological risks and addiction as critical issues. By requiring user emotion assessment, overuse warnings, and active intervention, Beijing is laying an early legal foundation for “human-like” AI. This could shape how AI businesses design products in China and influence global AI governance standards in the future.

📌 Electric Twin develops AI polling technology, using AI-controlled fake “voters” or “customers” trained on real-world data and emotions to provide rapid feedback. The company claims 91% accuracy, comparable to traditional polling methods. Raising nearly £7 million from Atomico reflects strong investor confidence in the AI-generated “synthetic person” model. However, this technology also raises questions about ethics, representation, and the risks of policy decisions based on data not derived from real humans.

📌 Once again, Deloitte – one of the Big Four – is being criticized for errors related to the use of AI in a consulting report for the government. The errors included inaccurate descriptions and misidentification of hospitals as well as healthcare facilities. After being detected, Deloitte stated it “stands fully behind the recommendations” made in the report, despite the errors caused by generative AI, which were primarily in the citations section. The incident raises concerns about the reliability of AI-assisted consulting reports in the public sector.

📌 PayPal’s Global AI Head believes that humanity has left the Information Age to enter the “Intelligence Age,” where AI not only stores and retrieves data but also generates new data itself. In the Information Age, value came from data access; in the Intelligence Age, the focus is on generation, reasoning, and moving towards partial automation of work.

📌 OpenAI CEO Sam Altman believes that the next major breakthrough on the path to superhuman artificial intelligence will come from memory, not reasoning capabilities. With a vision of AI being able to remember a user’s entire life, OpenAI aims to create an assistant that truly “participates in human life” starting in 2026. In the context of ChatGPT gradually losing market share to Gemini and new competitors, AI memory could become the strategic weapon deciding the leader in the next phase of generative AI.

📌 Biren Technology, a Shanghai-based AI chip manufacturer, plans an IPO in Hong Kong aiming to raise up to 4.85 billion Hong Kong dollars (≈623 million USD). Biren is one of China’s “Four Little Dragons” of GPUs, alongside Moore Threads and MetaX. With previous deals surging 400–800% and total Hong Kong IPOs reaching 259.4 billion HKD in 2025, investors are betting big on chip autonomy and AI. Despite not yet being profitable, AI companies are seen as the main drivers for the new IPO cycle in Asia.