Author: lethuphuong

📌 Vietnam is entering a new phase of development with a focus on technology, AI, innovation, and energy. With more than 50 US companies participating in the USABC mission, Vietnam is seen as a top priority market in Southeast Asia for many US corporations. However, to turn interest into actual investment flows, Vietnam needs to accelerate reforms, reduce administrative procedures by 50%, finalize the legal framework for data, and remove bottlenecks in the energy sector. If successful, the combination of US technology and capital with Vietnam’s scale and workforce could create a new growth engine in the coming decade.

📌 The telecommunications industry is entering a new phase where networks do not just transmit data but become platforms for AI distribution. Through the partnership between Indosat, Nokia, and Nvidia, Indonesia is building a 5G infrastructure combining AI-RAN and AI Grid to serve millions of users and businesses. AI-RAN trials are expected to take place in late 2026, while AI applications have begun development for government, healthcare, education, and agriculture. The long-term goal is to turn connectivity into an intelligent infrastructure layer capable of providing both telecom and AI services on a national scale.

📌 Bloomberg reports that the global AI race is no longer just a story of the US and China. Canada, the European Union, South Korea, Japan, Estonia, France, and many other nations are building their own strategies to protect technological sovereignty, maintain competitiveness, and avoid dependence on foreign AI ecosystems. Beyond economic growth, countries increasingly view AI as a matter related to national security, culture, jobs, and long-term geopolitical influence.

📌 The KPMG incident creates a notable paradox: one of the world’s leading consulting firms for AI implementation was found using information seemingly fabricated by AI in a report about AI itself. The incident shows that even organizations specializing in AI governance consulting are struggling to verify AI-generated content. This serves as a continued warning that human oversight and independent source verification remain mandatory when using AI in research, consulting, and professional publishing.

📌 A new trend in Agentic AI: not just automating processes but also digitizing the experience of the best experts within the business. Instead of relying on a few highly experienced individuals, companies can transform operational knowledge into AI Agents to support hundreds of locations at once. In the future, competitive advantage may come from the ability to “clone the knowledge” of top-tier talent through AI rather than just simple task automation.

📌 The biggest challenge of AI training is not learning how to use the tools, but changing the way the organization operates. Successful businesses will train both leaders and employees, encourage continuous experimentation, and evaluate effectiveness through real business results. In the AI era, competitive advantage will come from the ability to redesign workflows and build a culture of continuous learning, rather than just accumulating AI certificates.

📌 The new MIIT plan shows that China is not just focusing on AI models but is building the entire infrastructure foundation for the AI era. With the goal of wide-area low-latency computing network coverage, the development of AI Agents, and an investment of about $295 billion in data centers, China is preparing for a long-term AI competition phase, where digital infrastructure and computing capacity are seen as strategic factors on par with advanced AI models.

📌 China is shifting from traditional automation to large-scale AI Agent-based manufacturing. With over 43,700 smart factories, AI is no longer an optional technology but has become a mandatory evaluation standard for leading production facilities. Initial results show a 47% reduction in defect rates and a 38% decrease in product development time, while tasks that once took weeks are now handled by AI in just tens of minutes. This demonstrates that AI is becoming the core driver of China’s industrial strategy.

📌 The great paradox of AI today: usage is increasing rapidly, but public trust remains very low. In Australia, 58% of the population over 14 uses AI every month, yet only 4% truly trust the technology. The incident of a university leader using Copilot to write an article without disclosure highlights that the core issue is not whether AI is used, but transparency. If organizations and individuals do not disclose how AI is utilized, trust in education, media, and other professions may continue to erode.

📌 Phân tích một ứng dụng ít được chú ý của AI: lưu giữ ký ức tổ chức. Trong bối cảnh nhiều doanh nghiệp đối mặt với nguy cơ mất tri thức do nghỉ hưu, chuyển việc và tự động hóa, AI có thể trở thành kho lưu trữ tập thể vô cùng mạnh mẽ. Tuy nhiên, ký ức doanh nghiệp không chỉ là dữ liệu mà còn là những câu chuyện, tranh luận, sai sót và cách diễn giải thay đổi theo thời gian. Nếu biến toàn bộ lịch sử tổ chức thành dữ liệu cứng nhắc, AI có…