The World Robot Conference delivers a key signal: Is Physical AI transitioning from the "demonstration-only" phase to the stage of "actually doing real practical work"? In August, the 2026 World Robot Conference was held in Beijing. WRC has long gone beyond the category of exclusive exhibitions for robotics enterprises, gathering players from the chip, simulation, data, model and component sectors, as well as scenario providers and purchasers. Embodied intelligence is also evolving from a technical concept to a fully mature industrial chain. This summer, Granite Asia brought together entrepreneurs, business operators and outstanding talents, and launched a candid and pragmatic exchange around how AI is reshaping the real world. Professor Yinbei Li from the Singapore Institute of Technology first introduced the latest progress of Physical AI, and shared how the local region relies on its unique advantages to become an ideal test site for real-scenario testing and implementation of related technologies. In the roundtable discussion, Yinghui Kuang, Partner of Granite Asia, George Yan from Clobotics, and Alvin Foo from PSA International set aside concepts and overhyped buzzwords, and combined frontline practices to conduct in-depth discussions on the application and implementation of AI in real scenarios: 1. Real-world environment validation is the prerequisite for large-scale implementation. Only by continuously proving the reliability and replicability of its performance can robotics solutions achieve real large-scale application. 2. People-oriented design is the foundation of creating long-term value. Compared with robots that replace human labor, robots aimed at enhancing human capabilities are more easily accepted and more likely to continuously create value. 3. Focusing on high-value industries is the key to accumulating core capabilities. Deep engagement in fields such as medical devices and professional manufacturing helps to form transferable and reusable core capabilities. Today's Physical AI What kind of performance does it deliver in specific