Author: lethuphuong

📌 UAE AI Minister Omar Sultan Al Olama argues that the 40–60 age group holds a unique advantage in the AI era thanks to experiencing both the pre-Internet world and the digital age. He warns that hyper-specialisation makes humans easily surpassed by AI, whereas “broad intelligence” – based on experience, interdisciplinary understanding, and practicality – is a sustainable capability. With AI becoming increasingly powerful, synthetic thinking may be more important than narrow expertise.

📌 Nearly 95% of students in Seoul, South Korea, have been exposed to generative AI, mainly for learning purposes, especially in language subjects. Meanwhile, over 90% of teachers are concerned about student dependency, plagiarism, and declining critical thinking. The paradox lies in the fact that less than half of teachers provide guidance on AI usage, even though the majority of them have applied AI to assessment, grading, and classroom management, revealing a significant gap in formal AI education.

📌 New research from Stanford and Yale shows that large language models are not merely “learning” but storing and reproducing book content verbatim. This finding shakes the theoretical foundation of the generative AI industry. Instead of “learning” like humans, models operate by compressing and retrieving data, leading to a risk of copyright infringement on a massive scale. If courts deem AI models to be illegal copies, the industry could face billions of dollars in fines and be forced to restructure the entire way AI is developed in the future.

📌 AI has established a strong presence in life, but the benefits are tilting toward those who dare to experiment early and persist. With usage rates reaching 62% in the US and the ability to create new value from everyday users, AI is driving unprecedented productivity growth. However, “capability overhang” (AI’s latent potential not yet fully exploited) also means that opportunities and risks are unevenly distributed, causing some sectors to break through quickly while others lag behind.

📌 AI Tower Residences @ i-City in Selangor, Malaysia, is introduced as the world’s first residential project designed from the outset for living with AI and robots. AI Tower demonstrates how housing can evolve alongside AI and robots, where technology becomes a living foundation rather than an add-on utility. With 500 units, a robot rental model, AI-native design, and a 20–30 year operational goal, the project bets on a future where humans and machines collaborate daily. Notably, this ambition is realized without pushing home prices to “sci-fi” levels.

📌 The strategy to expand west-to-east power transmission shows that China is preparing large-scale energy infrastructure to serve a new wave of growth led by AI and high-tech manufacturing. With targets of over 420 GW in transmission, 900 GW in renewable energy, and tens of millions of charging stations, Beijing is pursuing both energy security and a green transition. This reflects the deepening dependence of technological ambitions on a stable and modern power foundation.

📌 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.