Background: A Revolutionary development in physiotherapy, wearable exoskeleton supplemented with artificial intelligence (AI) provide patients with mobility impairments with real time motion analysis, adaptive assistance and individualized rehabilitation. But despite their potential to completely transform recovery procedures, technical constraints, exorbitant expenses, and unresolved ethical issues continue to prevent their widespread clinical acceptance. In order to create a frame work for their safe and successful integration into standard physiotherapy practise, this study examines physiotherapy opinion regarding AI-driven exoskeleton, assesses their therapeutic efficacy, pinpoints significant implementation hurdles and tackles moral conundrums like patient autonomy and data privacy. Objective : In order to guide their successful implementation in physiotherapy practice, the purpose of this cross-sectional survey is to : (1) find out how physiotherapist feel about wearable exoskeletons with AI for individualized rehabilitation ; (2) determine their clinical usefulness in restoring mobility ; (3) identify adoption barriers such as cost and training ; (4) investigate ethical issues such as patient safety and data security ; and (5) ascertain practitioners readiness to adopt this technology and their training requirements. Method: This cross-sectional survey will assess physiotherapists awareness, adoption, and perception of AI-powered wearable’s in rehabilitation, while identifying key integration challenges. Through a 4-6week online questionnaire distributes via professional network, this cross-sectional survey will assess the awareness, adoption perception of 300-500 licenced physiotherapist with at least one year of experience with AI-powered exoskeletons in the area of musculoskeletal, neurological, sports, paediatric and geriatric rehabilitation. The study will also explore key challenges to putting these technologies into everyday use – such as high cost involved, the need of specialized training the safety consideration. It will look into ethical concerns too, including data privacy and questions around legal responsibility. Result: findings suggests that despite significant obstacles, such as high expenses, complicated technological issues, and privacy concerns, physiotherapists are cautiously optimistic about how AI-powered exoskeletons will transform rehabilitation practices. Conclusion: In order to maximize acceptance and patient outcome, integrating AI-powered exoskeletons, successfully necessitates overcoming practical implementation challenges, setting ethical rules, and offering focused physician training, despite the potential benefits for individualized rehabilitation.