Zhi Tong Cai Jing·2025-09-24 12:58Core Insights - The competition for "visual data" is intensifying among technology and manufacturing giants, with the VLA (Visual-Language-Action) model being identified as crucial for AI robots' autonomous interaction [1][8] - The ability to collect and process high-quality real-world scene data is seen as a key determinant of success in the AI robot era [1][2] Group 1: The Essence of the "Photon War" - Visual data is described as the "fuel" for AI robots, with its value being contingent on the ability to collect and process it effectively [2] - The analogy of a bluefin tuna illustrates that without the means to capture visual data, its potential value remains unrealized [2] - Companies are increasingly deploying cameras in various environments, including homes and vehicles, to gather this critical data [2] Group 2: Tesla's Focus on Pure Visual Training - Tesla is making significant strides in visual data application, transitioning from human-assisted control to data-driven autonomous learning for its Optimus robot [3] - The shift to using recorded videos of factory workers for training data marks a pivotal change in reducing costs and enhancing practical value [3] - Skild AI is also mentioned as a player in this space, utilizing human action videos from the internet for training its robotic models [3] Group 3: Major Players Competing for Visual Data - Meta is positioning itself in the wearable device market to capture visual data, planning to embed ultra-high-definition cameras in its next-generation glasses [5] - The projected adoption of these devices could reach 20 million units within two years, significantly impacting the visual data landscape [5] - Brookfield is leveraging its extensive real estate assets to collect diverse training data for AI robots, focusing on various environments to enhance training material [6] Group 4: Investment Perspective - Tesla is highlighted as a core investment target, with a target stock price of $410, driven by advancements in AI robot technology and data accumulation [7] - The report emphasizes the importance of visual data acquisition capabilities in determining a company's position within the industry [8] Group 5: Conclusion on Visual Data's Role - The competition in AI robotics is shifting from algorithm development to data acquisition, with visual data being a central resource for training VLA models [8] - Companies that can effectively balance data collection efficiency, user privacy, and commercialization are likely to emerge as leaders in the evolving AI robot landscape [8]