📌 The AI boom is creating a new demand for frontline deployment engineers—those who directly implement AI into businesses. In 2025, job postings for this position increased more than 10 times compared to 2024, while mentions in corporate financial reports rose from 8 to about 50. Due to the requirement for both deep technical skills and business operational understanding, only about 10% of engineers are willing to do this work. This scarcity makes engineers who directly deploy AI the key factor in determining whether AI can function in the real world.

📌 Delays in leadership decision-making primarily stem from messy inputs, vague options, and a lack of recorded rationale. AI can address this by standardizing summaries, clarifying choices, synthesizing data, and logging decision logic. When AI acts as support infrastructure instead of the decision-maker, leaders can focus on strategic judgment, helping the organization make faster and more accurate decisions in complex business environments.

📌 Silicon Valley is witnessing a major shift in work as programmers move from writing code to coordinating teams of AI agents. Many set up AI agents to work through the night or while at parties, checking progress like caring for digital “Tamagotchis.” Tools like the new Claude can complete tasks equivalent to 12 hours of human labor, causing many engineers to manage 4–5 bots at once. While accelerating software development, this trend also raises concerns about AI acting out of control and traditional coding skills becoming less necessary.

📌 This deal shows that Chinese tech companies are finding ways to access advanced AI computing power through international cloud infrastructure instead of directly purchasing restricted hardware. With a cluster of 36,000 Blackwell GPUs worth about $2.5 billion in Malaysia and the potential to expand by another 7,000 GPUs in Indonesia, ByteDance is building large-scale AI capabilities while still complying with US export regulations. This reflects the trend of “Global AI Compute Outsourcing,” where cloud access becomes a strategic factor in the AI competition.

📌 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.

📌 Conclusion: The conflict between Anthropic and the U.S. government demonstrates that AI is not just technology but a source of strategic power. As AI models become critical infrastructure for defense, economy, and governance, AI development companies are beginning to set their own limits on how the technology is used. This creates a new power order where some tech businesses can act as political actors with influence comparable to nation-states.

📌 Conclusion: The OpenClaw wave has triggered intense competition among Chinese AI firms like Tencent, Zhipu, Baidu, and Xiaomi. They are developing AI agent versions that are easy to install and use domestic models to mitigate data risks. While the government warns of security threats like prompt injection and system leaks, market demand remains strong with 499 RMB (~$72.5) installation services, and token usage for Chinese AI models has surpassed U.S. models for the first time.