Author: lethuphuong

📌 Costly mistakes in AI transformation: When businesses choose engineers over business-savvy leaders. To succeed, organizations need to foster a team of “Transformers” – leaders who understand both technology and business, thereby creating a sustainable culture of innovation and maximizing the benefits of AI across the entire enterprise.

📌 Deloitte’s $291,000 mistake wasn’t an accident, but a wake-up call: when humans stop thinking and let AI do the thinking for them, we create a generation of “data junk” professionals. Teaching critical thinking today is no longer about “fighting AI,” but about teaching dialogue, verification, and decision-making with AI — so that the next generation still knows how to think, instead of just knowing how to type commands.

📌 With over $1.25 billion from India and hundreds of billions globally pouring into “sovereign AI,” many nations hope to escape US-China dependence. However, experts warn that most users still choose ChatGPT or Gemini, risking national projects becoming expensive but futile races if they lack a collaborative vision and realistic usage strategy.

📌 With over $1.25 billion from India and hundreds of billions globally pouring into “sovereign AI,” many nations hope to escape US-China dependence. However, experts warn that most users still choose ChatGPT or Gemini, risking national projects becoming expensive but futile races if they lack a collaborative vision and realistic usage strategy.

📌 UAE’s Minister of Economy affirms that artificial intelligence is a matter of national sovereignty, requiring a budget equivalent to defense and cybersecurity. The government has also amended the Commercial Transactions Law, incorporating AI into the legal framework. With a non-oil economy reaching 77.3% of GDP, a global talent strategy, and clean energy for AI infrastructure, the UAE asserts its pioneering role but also warns that AI will transform the labor market.

📌 On September 23, 2025, NVIDIA AI Day in Ho Chi Minh City attracted over 800 participants, including developers, startups, researchers, and businesses. As of September 23, 2025, Vietnam’s AI ecosystem includes: over 61,000 developers using NVIDIA platforms; over 180 startups under NVIDIA Inception; 9 independent software vendors; over 21,000 trainees participating in the NVIDIA Deep Learning Institute; and 39 businesses collaborating with NVIDIA. Companies like FPT, VNPT, Zalo, and GreenNode are leading the deployment of AI factories, localized LLMs, and industrial applications, helping Vietnam aim to be among the top 4 AI-leading countries in Southeast Asia by 2030.

📌 At last week’s UN General Assembly session, the US clashed with many world leaders by rejecting calls for global AI oversight, emphasizing national sovereignty and innovation. President Donald Trump, in his General Assembly speech, said the US would lead in building an AI verification system for the Biological Weapons Convention. He viewed AI as both a “great tool” and a “potential danger.” Meanwhile, China, Spain, and many other countries supported the UN playing a central role. This opposition signals an increasingly intense global AI policy struggle, as AI promises great contributions but also harbors cross-border risks.

📌 US businesses are chasing the AI trend more out of fear of missing out (FOMO) than a clear strategy. Many companies promote AI as a “revolutionary innovation,” but official reports primarily express concerns about costs and risks. AI has potential but cannot be applied to “everything.” “Stuffing AI” into every process may not necessarily yield results. Apart from Big Tech, very few businesses show significant growth. The big question: Is AI truly creating value or just a “tech bubble”?

📌 China launches “$37 billion Stargate” to bridge the AI infrastructure gap with the US, which currently holds 75% of global computing power, while China only reaches about 15%. The project is located on a 307-hectare island in the Yangtze River, near major economic centers like Shanghai. Huawei and China Mobile are key technology corporations participating in this project. China is promoting AI infrastructure to compete economically and in defense, while asserting AI as a national security strategy.

📌 Building sovereign AI in Australia is not far-fetched but a vital requirement to protect data, ethics, and national interests. With a cost of under $100 million, Australia can create a reliable LLM model, independent of foreign companies, especially in sensitive areas like healthcare and legal. Sovereign Australia AI is a pioneering step, investing in infrastructure and compensating data owners, bringing transparency and trust.