Guangdong Unveils AI Action Plan to Boost Aerospace Industry Innovation & Efficiency

The following table shows the ferrous and nonferrous metals movement on the SHFE and DCE on 23 Apr , 2026

The General Office of the Guangdong Provincial People's Government issued the *Guangdong Province Action Plan for Accelerating the Promotion of High-Level AI Application Across All Domains, All Times, and All Industries*. The plan proposed "AI +" brain-computer interface. It called for R&D of new-type brain-inspired algorithms, research on brain-inspired computing architectures and neuromorphic chips, and the construction of low-power, high performance general-purpose brain-inspired intelligent computing systems. The plan aimed to promote the integration of cutting-edge AI technologies such as brain-computer interfaces and embodied AI, and to support the R&D of peripheral devices including brain-controlled rehabilitation humanoid robots, exoskeletons, robotic arms, and prosthetic limbs.

The General Office of the Guangdong Provincial People's Government issued the *Action Plan of Guangdong Province for Accelerating the Promotion of High-Level Application of Artificial Intelligence Across All Domains, All Times, and All Industries*. The plan proposed "AI +" intelligent robots. It called for deepening the application of AI throughout the entire process of robot production and manufacturing, focusing on tackling core technologies such as human-robot interaction and decision-making planning, generative large models, and full-body coordinated control of humanoid robots, promoting deep adaptation between AI algorithms and robot hardware, and optimizing design and manufacturing processes. The plan prioritized the development of humanoid robot design and manufacturing, promoted the coordinated R&D of AI with robot "brain," "cerebellum," and body, and sought breakthroughs in key technologies such as multimodal perception fusion and adaptive decision-making. It called for the R&D of embodied AI large models and device-edge-cloud integrated collaborative embodied AI networks to support cross-scenario transfer learning for robots. The plan supported Guangzhou, Shenzhen, and other cities in building embodied AI training ground systems to provide data training and verification support for model R&D and validation.