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📣 When AI no longer just types on the keyboard: Why does Justin Sun say physical AI is the next era's "hard currency"? 📣 While ChatGPT's chatbox and Midjourney's drawing interface still occupy people's entire imagination of AI, a disruptive judgment is spreading in the tech circle: the real battlefield of AI has never been on the screen, but in the physical world beneath our feet. The "physical AI panorama" recently proposed by Justin Sun, founder of TRON, is tearing open a corner of this transformation—from digital generation to real-world transformation, AI's evolution has reached a critical turning point from "being able to talk" to "being able to act." In recent years, we have witnessed the carnival of virtual AI: writing copy, creating posters, making PPTs—these "intelligences on the screen" have pushed content production efficiency to the extreme, but also turned the field into a red ocean of fierce competition. However, Justin Sun's judgment is incisive: AI should not only generate content but also understand and change reality. This is not an empty slogan but an industry consensus confirmed by Jensen Huang of NVIDIA at CES 2026—the "ChatGPT moment" for physical AI has arrived. Its core logic is simple: equip AI with eyes to perceive the environment, a brain to plan paths, and hands to manipulate entities, truly achieving a closed loop of "perception × decision × execution." Supporting all this is a rapidly maturing technological foundation. From large models and intelligent agents as the "brain," to computer vision and sensors as the "eyes," and motion control and simulation training as the "hands and feet," edge computing and computing power enable physical AI to move from the lab to real-world application. Even more surprisingly, Justin Sun specifically emphasized the role of blockchain: it is not just a simple technical embellishment but a "digital contract" providing AI agents with on-chain identity, trusted collaboration, and autonomous payment capabilities. This means future robots and drones will not only work but also settle tasks and distribute earnings themselves, forming a truly autonomous economic ecosystem. Today, physical AI's application scenarios have long surpassed sci-fi imagination. Robots in smart warehouses sort goods 24/7, drones inspect high-risk pipelines in industrial patrols, agricultural devices accurately identify pests and diseases, and even remote operations in space exploration are breaking limits with physical AI. In these scenarios, AI is no longer cold code but an "entity partner" capable of handling complex environments and emergencies. Data further confirms the trend: since 2026, funding in the embodied intelligence field alone has exceeded 24 billion yuan, and trillion-level sectors like manufacturing, transportation, and energy are opening their doors to this transformation. Of course, every coin has two sides. The deployment of physical AI is not without challenges: how to define the boundaries of security authorization? How to uphold ethical regulatory red lines? The challenges of scaling hardware costs and maintaining stability in complex environments are real tests ahead. But just as every technological revolution comes with growing pains, these issues are precisely the directions for industrial breakthroughs. Justin Sun summed it up with one sentence that reveals the essence: the future of AI is not just understanding the world on screens but entering the real world through robots, drones, and intelligent agents to take action. As the traffic dividend of virtual AI gradually peaks, physical AI is coming with the power to change the world—it may not be perfect, but it is destined to be the most hardcore and worthy main theme to bet on in the next decade. #星球日报 #OKX星球话题来啦 $BTC $ETH $OKB #SamsungLaborTalksCollapse #SpaceXIPOCountdown #WarshFedPowerShift