Author: lethuphuong

📌 The US Federal Trade Commission (FTC) is shifting to a “selective and pragmatic” approach to AI regulation: reducing intervention in the technology itself to avoid stifling innovation, but tightening control over false advertising claims. This is in implementation of President Trump’s Executive Order in the July 2025 AI Action Plan requiring the FTC to review and suspend investigations or penalties that “impede AI innovation.” The cancellation of the investigation order against Rytr shows that the FTC is sharply reducing enforcement related to the capabilities of AI products themselves, even when there is a risk of misuse. Previously, the FTC…

📌 Data from ASML shows that the AI infrastructure boom is still accelerating, with €13 billion in new orders in just one quarter and €32.7 billion in revenue. Despite long-term risks and uncertainties, chip manufacturers are acting as if AI demand will last for many years. This indicates that the construction of data centers and large-scale AI supply chains is unlikely to stall in the near future.

📌 A Harvard article emphasizes that bias in AI is not just a technical issue but a human behavioral issue. As AI becomes deeply involved in critical decisions, how we ask, evaluate, and act on AI results can silently amplify deviations. By slowing down, engaging in intentional reflection, and designing systems that encourage critical thinking, AI can become a better decision-making partner rather than a “megaphone” for our own prejudices.

📌 Singapore is deploying a $10 million support package comprising government grants and upfront bank funding to promote AI adoption in micro and small businesses (under 30 employees). The package marks a significant step for Singapore in bringing AI to the business group most vulnerable to being left behind. By combining subsidies, bank credit, and collaboration with schools, the government and industry associations are reducing technology investment risks for micro-enterprises. This approach not only boosts AI adoption but also strengthens an inclusive digital economic foundation where innovation is not reserved solely for large corporations.

📌 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.