8月26日，飞猪发布的《2025年暑期出游快报》显示，今年暑期旅游需求强劲，机票、酒店、租 车、海外当地玩乐等旅游订单量持续增长；品质游趋势明显，订单均价同比去年增长9.9%。学生和家 庭客群的增加，让包含文化娱乐体验的旅行热度大幅增长。 想出去玩又不知道去哪里玩？不妨让AI推荐试一试。4月份上线即邀请码"一码难求"的飞猪AI"问一 问"，在暑期伊始面向全量用户开放，飞猪数据显示，越来越多的用户开始使用AI规划自己的旅行，不 少人还会在AI的推荐下直接购买和出行。 编辑：孙冰 古镇古村和国风景点表现同样亮眼。如被时尚活动带火出圈的浙江嘉兴濮院时尚古镇，因特色表演 和壮美夜景走红社交网络的广东江门赤坎古镇、贵州遵义乌江寨国际旅游度假区等，平台订单量同比去 年均翻倍增长。国风旅拍、夜间游园、观看烟花表演等是今夏热门景区游玩打卡方式。 今年暑期，学生客群很活跃。飞猪数据显示，暑期学生出游人次占比持续增加，但大学生"特种兵 式"旅游热度有所下降，订单均价同比去年增长15.1%。这意味着，品质更高、体验更深入的旅行越来 越受大学生们的欢迎。 "请了一天假来参加漫展，顺带安排了上海三日游，看完漫展之后还准备去迪士尼玩一 ...

Core Insights - The article discusses the growing trend of AI-assisted travel planning, highlighting the emergence of various platforms offering AI-generated travel itineraries and recommendations [1][12][13] - It emphasizes the complexity and time-consuming nature of traditional travel planning, which has led to the rise of services that create personalized travel plans based on user preferences and requirements [1][6][12] Group 1: AI Travel Planning Features - Alibaba's travel platform, Fliggy, has launched an AI feature called "Ask Me," which generates travel plans by considering user preferences, budget, and other personalized needs [6][12] - Other online travel agencies (OTAs) like Ctrip and Tongcheng have also developed AI tools for travel planning, integrating their resources to provide comprehensive services [13][17] - User feedback indicates that while these AI tools can generate detailed itineraries, they may still have limitations in accuracy and speed, with some users reporting errors in generated plans [12][18] Group 2: Data and Privacy Challenges - The effectiveness of AI travel planning tools heavily relies on data collection, organization, and analysis, raising concerns about user privacy and data security [21][22] - The integration of various data sources is often challenging, which can lead to inaccuracies in recommendations and user experiences [21][22] - Ethical considerations regarding algorithmic biases and the prioritization of certain products over others can further complicate the reliability of AI-generated travel plans [21][22] Group 3: User Expectations vs. Reality - Users have high expectations for AI travel assistants, envisioning a seamless experience akin to a personal assistant that can understand and fulfill their travel needs [22] - However, the current capabilities of AI travel planning tools fall short of these expectations, indicating that significant advancements are still needed to achieve the ideal user experience [22]