企业内部的AI应用，慢得超出想象。 2025年已行过半，人工智能在中国旅游行业的应用呈现出更加清晰的发展路径。 从最初的概念探讨到如今的规模化落地，AI技术正在切实改变着这个行业的运作方式。无论是旅行者的计划制定方式，还是旅游企业的经营管理模式， 都在经历着一场静默但深刻的变革。 9月11日，在2025环球旅讯峰会【住宿业峰会】论坛上，DTalk.org创办人顾青就环球旅讯推出的《2025下半年AI旅游应用趋势洞察报告》展开主题演讲， 着重探讨了旅游企业在AI内部落地方面的挑战和趋势。 此份报告来自于3000份样本调研，囊括了酒店、航司、景区、旅游科技等多领域企业，按企业规模分为千人以上、500-1000人、50-200人三档，调研对象 以握有决策权的管理层和销售应用人员为主。 以下是演讲实录，内容有删减： 大家好，我是DTalk.org创办人顾青，做了三十年互联网，基本从搜索引擎到现在OTA的产品都做过，今天和大家聊聊旅游行业AI应用的趋势与破局之 道。 在讲趋势前，我先抛个两个核心观点。第一个，真正推动AI在企业落地的，往往不是CEO，而是基层员工。不是说他们不重要，而是高层战略往下落到 具体业务场景的时 ...

Group 1 - Apple released Xcode 26 Beta 7, introducing support for GPT-5 and integration with Claude, allowing developers to choose between GPT-5 and GPT-4.1 for new conversations [2] - Quark is reportedly developing a new AI product named "ZaoDian," which combines AI creation and content interaction, with plans for a separate "Quark Learning" app in the education sector [2] - Honor's Magic V5 overseas version launched in Europe, featuring offline real-time translation, achieving an 11% year-on-year growth in a declining smartphone market [2] Group 2 - Alibaba Travel launched an AI travel solution, including modules for employee travel recommendations and enterprise management, currently in internal testing [2]

8月28日，阿里商旅发布一站式AI商旅解决方案，对企业级出差场景需求进行AI赋能。据介绍，阿里商旅AI是一 个由多智能体驱动的AI商旅解决方案，由多个智能体分工协作，结合长短期记忆管理和MCP（模型上下文协议） 工具实时调用等方式，来处理复杂问题。 作为阿里巴巴飞猪旗下的一站式数字化差旅管理平台，阿里商旅区别于其他TMC（商旅管理公司），凭借着阿里 巴巴的生态资源，在AI应用和数智化管理方面独具特色。阿里巴巴副总裁、飞猪首席执行官庄卓然表示，阿里商 旅希望以务实姿态，把AI的能力变成客户的能力，降低不信任带来的显性和隐性成本。 "从企业和员工的真实需求出发，我们希望打造一个集合规、降本与体验质变为一体的全新方案。"阿里商旅总经 理施沈阳介绍道，阿里商旅制定了七大标准来衡量AI的落地效果，包括可执行、可调控、可观测、体验优先、安 全保障、开放互联、AI原生。以AI原生为例，其采用的AI原生方案具备更好的性能优势和进化优势，且支持平台 互联互通，能够快速融入企业的财务、人力、办公自动化等系统，实现低成本升级AI引擎。 以企业差旅管理者视角来体验，阿里商旅AI像个实时提供策略和行动支持的行政管理和财务管理专家，省去 ...

Core Insights - Alibaba Travel has launched a one-stop AI travel solution that includes intelligent travel agents for employees and management decision-making tools for corporate travel departments [1][2] - The AI solution aims to address the complexities and inefficiencies in corporate travel management, moving away from traditional methods that often lead to higher costs and lower employee satisfaction [1][5] Group 1: AI Solution Features - The AI travel solution is driven by multiple intelligent agents that collaborate to handle complex travel planning tasks, ensuring efficiency and compliance [2][3] - It utilizes a vast database of real-time pricing for flights, hotels, and other travel services, allowing for tailored travel plans that align with corporate policies and employee preferences [2][4] Group 2: Employee Experience - Employees can simply provide key information such as purpose, time, and location for their trip, and the AI will generate a complete travel itinerary, including necessary bookings and approvals [4][5] - The AI also proactively assists during travel by reminding employees of tasks such as booking transportation and meals, significantly reducing the risk of non-compliance with corporate travel standards [5] Group 3: Cost Efficiency and Employee Satisfaction - The AI solution can potentially lower costs by optimizing travel arrangements, such as suggesting more economical travel options that still meet corporate standards while enhancing employee comfort [5][6] - The approach emphasizes that employees should feel supported rather than restricted, aiming to balance operational efficiency with employee satisfaction [5][6] Group 4: Performance Metrics - Alibaba Travel has established seven key standards to evaluate the effectiveness of the AI solution, focusing on aspects such as execution, observability, and user experience [6] - The acceptance of AI booking tools among employees is increasing, particularly in the Asia-Pacific region, where acceptance rates have reached 78% [6]