The evolution of fitness training has shifted from costly personal trainers to affordable AI-driven workout plans that promise customization tailored to individual needs. However, reliance on algorithms raises concerns about safety and effectiveness, especially if they rely on inaccurate self-reported data about one’s fitness level or injury history. AI can analyze multiple fitness metrics effectively, adapting plans in real-time, but lacks the physiological insights that experienced trainers provide, such as form correction and motivational support. Many AI systems use linear progression models, often overlooking the complexity of human fitness development, which can lead to inappropriate training loads. Moreover, while AI fitness apps democratize access to personalized coaching, they may inadvertently increase the risk of injury and may not suit beginners who lack the knowledge to evaluate their workouts. Future improvements may lie in hybrid models combining AI efficiency with human expertise to enhance safety and effectiveness in fitness training.
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The Hidden Risks of AI Workout Plans: Are They More Harmful Than Beneficial?

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