Core Viewpoint - The article emphasizes the importance of weight management as a national strategy under the "Healthy China 2030" initiative, highlighting the launch of a three-year action plan to enhance public awareness and capabilities in weight management, aiming to prevent and control obesity [6][7][26]. Group 1: National Initiatives - In 2016, the "Healthy China 2030" plan included obesity prevention as a national strategy, with recent policies encouraging public engagement in weight management [6]. - The National Health Commission (NHC) announced the official start of the three-year "Weight Management Year" action plan during the 2024 National People's Congress, aiming to promote healthy lifestyles and strengthen chronic disease prevention [7][26]. - By 2026, the goal is to significantly enhance public awareness and skills in weight management, with an annual reduction of 10% in obesity rates [26]. Group 2: AI in Weight Management - AI is transforming weight management from an "experience-driven" approach to a "data-driven" one, allowing for more precise weight loss strategies through data analysis [9]. - AI applications in dietary management include personalized meal recommendations and intelligent calorie recognition, with tools like CaloScanAI analyzing food images to provide nutritional reports [10]. - In fitness, AI-driven systems can identify incorrect exercise postures and create personalized training plans, enhancing workout efficiency [10][11]. Group 3: Challenges and Limitations of AI - Despite its advantages, AI in weight management has limitations, such as insufficient real-time interaction with users, which can lead to ineffective adherence to plans [13][14]. - Users may struggle with overly restrictive diets or intense exercise regimens suggested by AI, highlighting the need for human trainers to provide support and adjustments based on individual responses [14]. Group 4: Future Directions for AI in Weight Management - The future of AI in weight management will focus on improving data collection and analysis capabilities, integrating wearable devices with fitness platforms for better user insights [16]. - Enhancements in AI interaction will aim to provide emotional support and motivation, moving beyond basic Q&A to a more engaging user experience [17]. - The shift in weight management philosophy from treating obesity to preventing it is expected, with AI playing a crucial role in personalized interventions and comprehensive health management solutions [17][18].