Author: lethuphuong

📌 A Gallup survey of over 22,000 people shows that AI has quickly become a common work tool in the US, especially in technology, finance, and education. About 60% of workplace AI users rely mainly on chatbots or virtual assistants; 40% use it to summarize information, develop ideas, and learn new skills. AI helps increase productivity and reduce administrative burdens but also exposes a vulnerable group of workers if their skills are automated. Although fear of job loss is not yet widespread, AI is silently reshaping work methods and skill inequality in the US labor market.

📌 Although AI is becoming smarter and more common in business, it cannot replace human judgment in ambiguous contexts. Strategic decisions require weighing values, context, and human factors—things that cannot be automated. In the era of generative AI, the sustainable advantage is not narrow specialization but a broad knowledge base and the ability for interdisciplinary synthesis. Employers are increasingly looking for “generalists with judgment”: independent, flexible, willing to take responsibility, and knowing how to use AI as a tool, not a crutch.

📌 Research by Sandia National Laboratories (under the U.S. Department of Energy) shows that in just 5 hours, a system of 3 AI agents conducted over 300 experiments, achieving LED beam steering results 4 times better than methods previously developed by humans. This has opened up great prospects for self-driving laboratories. This method is expected to be applied to material design, alloys, and printed electronics in the future.

📌 The UK government plans to allow AI systems to use data from the Met Office and legal documents from the National Archives to boost AI deployment in the public sector and businesses. The government also announced plans to license content from national organizations like the Natural History Museum and the National Library of Scotland for AI development. While promising to support businesses and the public sector, this plan still faces fierce controversy regarding copyright and privacy. A “creative content trading platform” will allow the buying, selling, and licensing of digitized cultural content at scale, with a pilot platform launching…

📌 Australia’s financial regulator warns citizens to improve their financial literacy, otherwise they will be easily exploited by a wave of scams and AI-driven financial product advertisements. With AI agents, uncontrolled advertising, and deepfakes becoming increasingly common, the Australian financial regulator believes that improving financial-tech literacy is the most critical line of defense. If there is insufficient investment in education and regulatory capacity, personal financial losses could increase sharply in the AI era.

📌 At the Davos 2026 Forum, the topic “why AI hasn’t had an impact yet” appeared in almost every discussion among top leaders. Many companies have forced AI usage through mandatory training or by tying it to performance reviews, but this approach has backfired. Businesses need time to train, redesign processes, and build AI-native models, rather than imposing them hastily. 84% of workflows remain in their old state when applying AI, with only 16% designed to be AI-native. Most leaders predict that the workforce will not decrease significantly in the next 3–5 years.

📌 The International Monetary Fund (IMF) believes that the global economy in 2026 will still grow stably at 3.3% despite trade risks, thanks to strong momentum from AI investment and business adaptability. AI acts as a growth catalyst; if adopted quickly and effectively, global growth in 2026 could increase by an additional 0.3 percentage points. In the medium term, AI could contribute an additional 0.1–0.8 percentage points annually to global growth. The trend of falling inflation creates a monetary policy foundation to support growth in the coming period.

📌 The ASEAN region currently has over 680 AI companies, with about 500 (over 70%) located in Singapore. The region accounts for only about 2% of total global AI funding, lower than its 4% share of global GDP. Total venture capital investment in Southeast Asian AI startups in 2025 is estimated at $410.5 million, down from $520.2 million in 2024. Facing AI bubble risks, ASEAN startups are strategically shifting towards profitability and real cash flow. Lean enterprises focused on specialized niches and real paying customers are seen as candidates to overcome any upcoming market corrections.

📌 Current AI systems often lack consistency: objects deform, spaces change, and time gets “broken” in videos or simulations. The core cause is that generative AI operates on a mechanism of probabilistic prediction, without maintaining a continuous world model to update its understanding. World models are emerging as the foundation for the next wave of AI, solving AI’s biggest current weakness: a lack of stable understanding of space and time. From video, AR, and robotics to AGI, the ability to build and update continuous world models could determine whether AI merely “mimics” or truly understands and acts correctly in the…

📌 Doctors are beginning to record cases where users exhibit psychotic symptoms, in which AI – especially chatbots – plays a central role. “AI psychosis” is not an official medical diagnosis, but a term describing psychotic symptoms shaped or amplified by interaction with AI. Current AI safety mechanisms focus mainly on self-harm and violence, not yet focusing on psychosis. Although not directly causing psychosis, highly interactive AI can amplify delusions and blur the boundaries of reality. The solution is not to boycott AI, but to closely combine technological design, medicine, and ethics to protect mental health in the AI era.