在数字化浪潮与消费产业链重塑的双重驱动下，旅游业正从传统单一服务模式向跨产业融合的生态化体 系跃迁。伴随着消费者对旅游的需求从"功能满足"转向"体验驱动"，人工智能、低空经济、沉浸技术等 创新力量重构旅游产业链的底层逻辑，一场围绕着技术、情感、生态的三重变革正在发生。在此背景 下，深蓝智库聚焦"旅游+"产业链重建，通过技术升级、场景创新、业态重构、服务升级、消费链条重 塑五大维度，寻路未来旅游。 技术升级 AI从工具到"副驾" 文旅场景因其体验性强、接受度高，成为商业化首站。亿航智能副总裁贺天星说到，行业正从"一拥而 上"转向规范化、可持续、标准化、规则化的发展。 eVTOL正在改写旅游的空间逻辑。沃飞长空验证飞行的"成渝低空文旅走廊"航线，能让游客半小时从成 都直达乐山大佛上空；峰飞航空将依托已获批的长江北岸空中游览航线，拓展"低空+文旅"应用场景， 先行开启武汉市汉阳区的空中观光飞行。 2025年，在线旅游行业掀起了一场前所未有的AI竞速战。在深蓝智库采访调研的平台中，所有的在线 旅游平台均接入了DeepSeek。调研还发现，今年所有在线旅游平台都在加速AI产品的迭代，平均每1— 2个月都会优化或升级AI ...

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1][8] - AI is expected to replace a portion of hotel labor, potentially saving up to 30% in labor costs while shifting roles from repetitive tasks to high-value services [1][6] AI Implementation in Hotels - AI technologies such as smart front desk robots and AI digital managers are being integrated into hotel operations, enhancing efficiency and customer service [3][4] - Companies like Huazhu and Shoulv Rujia are leveraging AI for self-service check-ins and backend management, improving operational decision-making [3][4] Cost Reduction and Efficiency Gains - AI applications are reported to reduce labor costs by 30% and improve operational efficiency by 50% in processes like order inquiries and room assignments [6][4] - The use of AI digital managers has allowed hotel groups to automate 60% of repetitive tasks, freeing up human resources for more strategic roles [4][6] Market Trends and Challenges - The hotel industry is facing declining average daily rates (ADR) and occupancy rates (OCC), prompting a focus on cost reduction through AI [7][6] - Despite the benefits, challenges remain in AI adoption, including technology maturity and employee skill gaps [8][9] Future Outlook - The trend towards increased digital training and skill enhancement in the hotel workforce is expected to continue, with a shift towards a more technology-driven operational model [10][9] - The integration of AI is anticipated to evolve the hotel industry from a labor-intensive model to a human-machine collaborative approach [8][10]

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]