Author: lethuphuong

📌 China’s new technology plan aims to make AI the foundation of 90% of the economy by 2030, with massive investments in robotics, future technologies, and an open-source AI ecosystem. While the country already leads in industrial and humanoid robotics, it remains dependent on advanced AI chips from the US. The success of this strategy will depend on achieving semiconductor self-sufficiency and implementing AI across the entire economy, factors that could shape the global technological landscape over the next decade.

📌 The use of AI in grading is being implemented at four major universities in Singapore to increase efficiency and reduce the workload for lecturers. Tools like Gradescope and the AI-Orate chatbot can analyze handwriting, ask follow-up questions, and suggest scores, shortening grading time from one week to about two days. However, AI results must still be verified by lecturers, while some schools remain cautious due to concerns over accuracy and fairness.

📌 The rapid development of AI has caused many to fear being replaced, especially in intellectual industries. This concern is so prevalent that researchers have proposed a new psychological concept: Artificial Intelligence Replacement Dysfunction, describing the stress and identity crisis caused by the fear of AI replacement. However, abandoning a beloved career to switch to another immediately may be an overly hasty reaction. The key is to understand the value humans bring—such as judgment, relationship building, and creativity—while finding alternative career paths that still maintain personal meaning in the AI era.

📌 Chinese tech corporations are stepping up the deployment of next-generation AI agents, with Xiaomi testing micLaw – a system with over 50 capabilities and connections to more than 1 billion IoT devices. Simultaneously, Tencent is supporting the deployment of OpenClaw with over 100,000 cloud users having installed the system. In parallel, OpenAI launched GPT-5.4 which can control computers directly. These steps show that AI is moving from chatbots to systems that automatically execute tasks in the real world.

📌 Simile’s “agentic twins” technology is opening up a new way to conduct market research by simulating human behavior with AI. With data from 400,000 people and 2.9 million survey responses, CVS’s system can replicate research results with up to 95% accuracy. Thanks to the ability to ask unlimited questions and operate continuously, AI can reduce costs and accelerate research. However, experts believe that data from real humans is still necessary to verify and ensure reliability.

📌 For decades, business leaders viewed technology like ERP, cloud, or cybersecurity as issues that could be delegated to the IT department or implementation consultants. In an AI-accelerated economy, leadership staying on the sidelines is no longer prudent but has become a strategic mistake. AI must be designed as a strategic partner for humans. When deployed correctly, AI helps amplify leadership capabilities, increase productivity, and drive innovation. AI-savvy leaders will use AI to analyze market data, simulate expansion strategies, and assess risks in minutes instead of waiting months for consultant reports.

📌 In the past, analyzing large volumes of corporate text was time-consuming and expensive, causing much important data to be “trapped” in long and difficult-to-extract documents. Generative AI is changing how leaders exploit unstructured text data such as annual reports, contracts, customer feedback, technical documents, and internal memos to create actionable information in business strategy. Signals extracted from text not only reflect business activities but are also related to revenue growth, market valuation, and competitive trends. This method can be applied to many other areas such as supply chain, customers, human resources, and legal risks.

📌 Singapore is driving a large-scale digital transformation with the establishment of the Institute of Digital Government to train over 150,000 civil servants, alongside a national program supporting 10,000 businesses and 100,000 workers over 3 years. Mandatory modules in cybersecurity, data protection, and AI demonstrate a comprehensive strategy that combines leadership training, the expansion of the TechSkills Accelerator program (active since 2016), and hands-on bootcamps to ensure AI benefits the many rather than just early adopters.

📌 Across China, parents are using chatbots and generative AI devices to support their children’s learning, from grading homework and explaining grammar to creating interactive games, aiming to reduce pressure and gain a competitive edge in a fierce educational environment. This wave is driving a market worth over $43 billion, with 90% of the population optimistic about the technology. From $375 translation devices to the Doubao chatbot and vibecoding, AI is helping improve grades and reduce tutoring costs. However, the controversial “AI self-study rooms” highlight the thin line between genuine innovation and marketing gimmicks in the educational AI craze.

📌 China officially established a national standard framework for humanoid robots and embodied AI on March 1, 2026. The system comprises six main components: general platform, brain-like and intelligent computing, limbs and components, complete machines and systems, applications, and safety and ethics. With over 140 manufacturers and 330 robot models launched in 2025—the first year of mass production—this set of standards aims to control the lifecycle of data, models, and applications, while consolidating the humanoid robot industry’s position as a national strategic sector.