Artificial intelligence is transforming the capabilities of exoskeletons, enabling them to assist users more naturally and efficiently in real-world environments. Traditional exoskeletons rely on pre-programmed movements that users must trigger manually, limiting their adaptability and usefulness in dynamic or unpredictable situations. This approach often results in a rigid, one-size-fits-all experience that doesn’t account for individual movement patterns or changing terrain. With the integration of AI, modern exoskeletons can now analyze real-time data from sensors to detect a user’s intent and adjust support accordingly. Machine learning algorithms process information from motion detectors, muscle activity sensors, and environmental inputs to predict and respond to movements before they happen. This allows for smoother, more intuitive motion assistance—whether the user is walking on uneven ground, climbing stairs, or navigating crowded spaces. These intelligent systems can also learn from user behavior over time, personalizing support to individual needs and improving performance with continued use. For people with mobility impairments or those recovering from injuries, this means greater independence and reduced physical strain. In industrial settings, AI-powered exoskeletons help workers perform physically demanding tasks with less fatigue and lower risk of injury. By moving beyond fixed motion patterns, AI-enhanced exoskeletons are bridging the gap between robotic assistance and natural human movement. As the technology advances, it holds promise for broader applications in healthcare, rehabilitation, and labor-intensive industries, making wearable robotics more effective, accessible, and responsive to real-life challenges.