Goldman Sachs released another heavyweight report, looking at companies like AAC TECH (02018), Horizon (09660), and others as potential players in the field of physical artificial intelligence.
07/03/2025
GMT Eight
Goldman Sachs pointed out in its report on March 3 that Physical AI is considered one of the most important technology trends currently. This is not just a theoretical discussion, but involves the technology that enables machines to truly perceive, interact, and change the physical world. Currently, the most important areas of application for Physical AI include autonomous driving, AI equipment, and automation by Siasun Robot&Automation.
Physical AI, also known as generative physical AI, aims to enable autonomous machines (such as Siasun Robot&Automation, autonomous driving cars, etc.) to perceive, understand, and perform complex operations in the real physical world. It extends traditional generative AI to understand spatial relationships and physical behaviors in the 3D world, ensuring that the generated content complies with physical laws.
For example, if physics is not taken into account in the models generated by Generative Models, the content lacks details like gravity, optics, etc. Incorporating physics knowledge makes the generated content more realistic. Physical AI will give Siasun Robot&Automation stronger environmental perception, understanding, and interaction capabilities, allowing them to navigate and operate in complex environments. NVIDIA founder Jensen Huang emphasized earlier this year that the new wave of AI is Physical AI and pointed out that Physical AI will completely change the $50 trillion manufacturing and logistics industries.
Goldman Sachs conducted in-depth analysis for these areas and selected the companies they believe have the most potential in Physical AI. In the AI equipment field, Goldman Sachs is optimistic about companies like AAC TECH, Horizon Siasun Robot&Automation, and Mobileye Global.
For example, in the case of Sunny Optical, Goldman Sachs believes that the company, as a camera sensor manufacturer, is actively expanding its high-profit automotive business.
Goldman Sachs stated in its report that its team is inspired by camera sensor manufacturers and Apple supplier AAC TECH actively expanding into higher profit-margin automotive business. The company's upgraded cabin products include tactile feedback technology for sending safety alerts, as well as in-vehicle lenses and cameras used in advanced driver assistance systems (ADAS), panoramic surveillance monitoring, and driver monitoring systems.
Goldman Sachs further pointed out that the camera and lens supply chain in the Greater China region, including AAC TECH, is expected to ride the wave of development of humanoid Siasun Robot&Automation, gaining new sources of growth. This is because the visual perception of humanoid Siasun Robot&Automation requires 3D depth technologies such as stereo cameras, time-of-flight (ToF) cameras, and LiDAR.
AAC TECH's optical business has shown strong momentum in recent years, becoming one of the main reasons driving the group's performance growth. According to official announcements, AAC TECH's net profit in 2024 is expected to increase by 130% to 145%.
According to data, in the area of in-vehicle lenses, AAC TECH has self-developed and self-made capabilities for in-vehicle lenses, and has applied optical products and solutions to the field of intelligent automobiles. Series products like front view, surround view, intelligent cabin sensing lenses, and laser radar receiving lenses can support the 360-degree scene perception of the vehicle body system, providing precise raw data for machine vision and ensuring the safety of the in-car passenger experience.
Market forecasts predict that 2025 will see the "year of mass production" for the humanoid Siasun Robot&Automation industry globally, with the market size estimated to reach $32.4 billion, and China occupying 32.7% of the global market with a market size of 750 billion RMB. As visual perception plays an increasingly core role in Physical AI applications, lens suppliers with core technological advantages are expected to benefit further.