What happened
Chosunbiz reports that gyms in South Korea are introducing AI-guided workout systems that use members’ body information and exercise history to recommend weights, repetitions, routines and rest periods. Equipment screens demonstrate exercises, count repetitions and direct users to the next machine. Members can begin sessions through an app, QR code or dedicated NFC watch, while some gyms also offer contact-free registration and purchases.
Chosunbiz visited an AI gym in Seoul’s Yeongdeungpo District and described machines equipped with screens that guide members through cardio, weight training and stretching. Users scan a QR code in a smartphone app or use a dedicated NFC watch, after which the system recommends weights and repetitions based on body information and previous workout data. It also automatically sets the day’s exercise order and presents an approximately hour-long course, according to the report.
The equipment displays instructional videos, counts repetitions based on users’ movements and indicates how long to rest between sets. Stretching stations show an AI trainer demonstrating movements. Members can follow the prescribed sequence or select a free-workout mode. The app also handles some contact-free services, including membership registration and purchases of one-time passes, workout clothes and towels.
The report quotes users who said personal-training prices were burdensome or that they felt uncomfortable when trainers approached them or recommended additional sessions. Chosunbiz also describes a gym in Uijeongbu, Gyeonggi Province, that uses AI body-shape analysis before in-person personal training. The article does not identify the technology providers or state how many gyms use these systems.
A trainer quoted by Chosunbiz said AI can help create more precise routines but cannot account for every changing factor, such as a member’s health condition, whether they have eaten or their preferred intensity on a given day. The trainer also expressed concern that broader AI adoption could reduce jobs. These are reported views, not independently verified labor-market findings.
Source details: biz.chosun.com ↗
Why it matters
The report describes a practical consumer deployment of AI in a setting where users may value privacy, convenience or lower-cost access over individualized attention from a trainer. It also shows how AI can alter the economics and social dynamics of routine services by shifting guidance from staff to equipment. However, Chosunbiz provides no independent performance comparison, injury data, customer-satisfaction survey or evidence that the systems are safer or cheaper than personal training.
The system could make basic exercise instruction available without requiring a continuous one-on-one relationship with a trainer, potentially appealing to people who find personal-training sales approaches uncomfortable or unaffordable.
The deployment also illustrates a broader service shift: AI is being embedded directly into physical equipment and customer workflows rather than offered only as a standalone chatbot or mobile app. That may make routine personalization more accessible, but it places greater responsibility on the system to recognize when automated advice is inappropriate.
The source does not establish that AI gyms cost less overall, deliver better fitness results or reduce injury risk. No prices, controlled tests, outcome measurements or independent assessments are provided. The report’s claims should therefore be read as an account of observed use and user experiences, not proof of effectiveness.
Personalization depends on body and workout data entered into the gym’s systems. Chosunbiz does not report what data is collected beyond the information used for recommendations, how it is stored, whether it is shared, or whether members can delete it.
What to watch next
Key unknowns include the systems’ accuracy, how they handle injuries or changing health conditions, whether trainers supervise users, and whether the model recommendations improve outcomes. The article does not disclose membership prices, hardware or software suppliers, rollout scale, availability beyond the gyms visited, or evidence of job losses. Future reporting should examine safety safeguards, data collection and retention, and whether customers can access human help when AI guidance is unsuitable.
Whether gyms provide a clearly available human trainer or other escalation path for pain, injury, unusual symptoms or exercises the system cannot safely assess.
Independent evidence on form detection, recommendation accuracy, adherence, injuries and fitness outcomes compared with conventional gym instruction or personal training.
The business model, including membership and equipment costs, any separate fees for AI programs, and whether the systems are available broadly or only at selected locations.
Privacy and labor effects as more gyms collect body measurements and workout histories and use AI to replace or supplement trainer interactions.