逐渐取代重复性工作 随着新技术的升级与应用，AI也逐渐渗透到酒店业的各个岗位。2月，华住通过智能前台机器人实现30 秒自助入住，并引入人形机器人承担行李搬运、客房清洁等任务。 除了在前台服务岗位，AI还深度参与酒店后台管理。首旅如家通过大数据模型打造"AI数字店长"，借助 数字化能力深度分析酒店经营数据，为酒店总经理提供实时查询、未来流量预警等决策辅助功能。此 外，通过加持DeepSeek等主流大语言模型，实现以上功能的多模态交互，让"AI数字店长"变成酒店经营 的左膀右臂。 2025年，中国酒店业在AI技术的驱动下，正经历一场前所未有的效率革命。从"AI数字店长"到智能前台 机器人，从动态定价系统到全链路数智化运营，AI不仅重塑了酒店的服务模式，更深刻改变了行业的 竞争逻辑。今年以来，包括华住、首旅如家、旅智科技、雅里数科等酒旅企业纷纷加码AI，推动行业 从"人力密集型"向"人机协同型"转型。深蓝智库采访调研发现，所有的受访企业均谈到了AI对酒店业的 助力，其中AI将逐渐替代部分酒店人力，全服务流程可以帮助酒店节省30%的人力成本，而AI替代的工 种也将从重复劳动向高附加值服务转移，当前酒店业也在加紧AI应 ...

2025年，中国酒店业在AI技术的驱动下，正经历一场前所未有的效率革命。从"AI数字店长"到智能前台 机器人，从动态定价系统到全链路数智化运营，AI不仅重塑了酒店的服务模式，更深刻改变了行业的 竞争逻辑。今年以来，包括华住、首旅如家、旅智科技、雅里数科等酒旅企业纷纷加码AI，推动行业 从"人力密集型"向"人机协同型"转型。深蓝智库采访调研发现，所有的受访企业均谈到了AI对酒店业的 助力，其中AI将逐渐替代部分酒店人力，部分全服务流程可以帮助酒店节省30%的人力成本，而AI替代 的工种也将从重复劳动向高附加值服务转移，当前酒店业也在加紧AI应用的落地，并培训员工从服务 型向技术型转型。 逐渐取代重复性工作 随着新技术的升级与应用，AI也逐渐渗透到酒店业的各个岗位。2月，华住通过智能前台机器人实现30 秒自助入住，并引入人形机器人承担行李搬运、客房清洁等任务。 除了在前台服务岗位，AI还深度参与酒店后台管理。首旅如家通过大数据模型打造"AI数字店长"，借助 数字化能力深度分析酒店经营数据，为酒店总经理提供实时查询、未来流量预警等决策辅助功能。此 外，通过加持DeepSeek等主流大语言模型，实现以上功能的多模态交 ...

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1][10] - Major hotel companies are increasingly adopting AI to shift from labor-intensive operations to human-machine collaboration, with AI expected to replace a portion of human labor and reduce labor costs by 30% [1][7] AI Implementation in Hotels - AI is penetrating various roles within the hotel industry, with companies like Huazhu implementing smart front desk robots for self-check-in and humanoid robots for luggage handling and room cleaning [3] - AI is also enhancing backend management, as seen with ShouLai RuJia's "AI Digital Manager," which analyzes operational data to assist hotel managers with real-time insights and future traffic warnings [3] - Wanda Hotels is utilizing AI for guest experience management and has created over 200,000 service tags to improve personalized service for over 120,000 members [3] Cost Reduction and Efficiency - AI applications are helping hotels reduce labor costs by 30% through self-service solutions, while energy management systems also contribute to a 30% reduction in energy consumption [7] - The "AI Digital Manager" is expected to handle 60% of repetitive tasks, allowing human managers to focus on more strategic aspects of hotel management [4][7] - Training periods for new employees have been significantly shortened, with some companies reporting a reduction from 7 days to 2 days for onboarding [7] Market Challenges and Trends - The hotel industry is facing pressure on key performance indicators such as average daily rate (ADR) and occupancy rate (OCC), leading to a focus on cost reduction as a priority [8] - Major hotel groups have reported declines in ADR and OCC, with Jinjiang Hotels showing a drop in ADR from 529.74 yuan in 2023 to 490.51 yuan in 2024 [8] - AI revenue management systems are dynamically optimizing pricing, which has positively impacted revenue per available room (RevPAR) [8] Future Outlook - The hotel industry is moving towards a human-machine collaborative model, with over 60% of surveyed entities acknowledging this shift [10] - There are challenges in AI adoption, including the maturity of technology and the need for employee training in AI skills [10] - Future training will focus on enhancing digital capabilities and integrating AI with management processes to avoid traditional operational habits [11]