With the advancement of artificial intelligence and human-computer interaction technologies, intelligent exoskeletons have become an important tool for enhancing human movement capabilities. The structural design of the exoskeleton plays a crucial role in improving the efficiency and comfort of human movement. Key considerations include the design of support arms, hinges, and joints, which need to be customized based on the user's motion characteristics and biomechanical needs to ensure adequate support while maintaining flexibility. This paper takes the "MO/GO" powered exoskeleton as an example to explore the application of digital technologies in the structural design of AI-powered exoskeletons. By using ADAMS for simulating joint forces and gait rationality, and employing OpenSim and MATLAB to provide internal body loads, the impact of the exoskeleton on human bones and muscles is analyzed. System software is used to mathematically process the raw data to extract valuable information, which is then subjected to theoretical analysis. By combining human anatomical theories, the structure and motion states of the major lower limb joints are studied, providing theoretical support for the subsequent structural design. Digital algorithms are employed to optimize the joint structure of the exoskeleton to meet the demands of different movement environments. Based on biomechanical experiments, regular data and human anatomical theories are collected and computed to conduct structural design analysis and physical prototype research for the exoskeleton. The research aims to demonstrate the characteristics of "human-machine collaboration," combining the "intelligence" of the human body with the "strength" of the exoskeleton to maximize movement performance.