Author: lethuphuong

📌 Forecasts suggest that by 2030, each AI rack could reach 1MW, 20-30 times higher than a conventional rack (30-50kW). The biggest challenge is not just computational power but energy and thermal management. New technologies like microfluidics help increase efficiency by 3 times, reducing GPU temperature by 65%. The digital infrastructure race now hinges on the ability to distribute power and remove heat, which will determine the future of global data centers.

📌 Microsoft officially introduces “vibe working” into Office with Agent Mode and Office Agent. Excel can now automate complex spreadsheets with 57.2% accuracy, Word turns writing into conversational interaction, and Copilot chat generates complete PowerPoints from a prompt. The combination of GPT-5 and Anthropic models shows that Microsoft is building a flexible Office AI ecosystem, strongly competing with other AI tools.

📌 Only 1% of enterprises are truly AI-mature, while 40% of agentic AI projects are expected to fail before 2027. The secret to success lies in people, not just technology: spreading AI fluency company-wide, building AI Centers of Excellence, establishing guardrails for AI use, and avoiding over-automation. The 5 necessary foundations for a successful AI structure are: skills assessment, establishing directly accountable individuals, cultural change to embrace experimentation, maintaining the feedback loop, and adopting the customer zero model, which means the enterprise becomes the first customer of its own developed product or solution before bringing it to market.

📌 Jensen Huang is transforming himself into a “global AI ambassador,” promoting the concept of sovereign AI to sell Nvidia chips to governments worldwide. This strategy emphasizes that each nation needs to build its own infrastructure, data, and AI models. However, these countries are heavily dependent on chips and capital from Nvidia, creating a paradox between “self-reliance” and “dependence on the US.” Sovereign AI revenue is projected to reach 20billionin2025,withmassiveprojectslikeStargateintheUS(20billionin2025,withmassiveprojectslikeStargateintheUS(500 billion), the EU AI fund (€200 billion), and the UAE AI center consuming 5GW of electricity. Yet, apart from China, almost no nation is truly self-sufficient in AI, making “sovereign AI” largely…

📌 The 50% tax relief policy for AI and cybersecurity training marks a major step forward in Malaysia’s corporate digital transformation, helping MSMEs overcome cost and human resource barriers. When implemented in conjunction with MyMahir, TalentCorp, and MyDigital, this program promises to create a powerful impetus for Malaysia’s digital economy while building a workforce ready for the AI era.

📌 Copilot is no longer an “add-on” but has become a core feature in Microsoft 365. General users benefit directly, while the “premium” tier retains its role for advanced AI capabilities. With Agent Mode and Office Agent, Microsoft is transforming the Office suite into an AI-native platform, but businesses must focus on oversight to leverage the benefits effectively without blindly relying on AI.

📌 Microsoft has just announced a new feature allowing employees to use Copilot from personal accounts to work on enterprise documents, even if the organization does not provide an M365 Copilot license, without breaking IT management control. Businesses maintain data security and compliance with security standards, while employees benefit from AI assistance. This is how Microsoft flexibly combines user convenience and organizational security.

📌 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.