世界经济论坛10日发文指出，X世代已经成为全球最高消费群体。全球"X世代"人口约有14亿，占总人口的17%，但"X世代"对消费市场影响力十分强大且 仍在增长。 "X世代"从2021年开始引领全球消费支出，这一领先地位将保持至2033年。在德国、日本、英国、美国等高收入市场，"X世代"消费主导地位预计持续到 2036年。2025年，"X世代"预计将推动全球15.2万亿美元的消费支出。 文章称，"X世代"当前正值消费和收入的巅峰时期，他们是受过良好教育的全球领袖，正处于职业生涯的巅峰。他们也是家庭和经济生活的中心，不仅要 照顾"千禧一代"或"Z世代"的孩子，还要照顾年迈的"婴儿潮一代"的父母，因此也被称为"夹心一代"。"X世代"扮演着家庭"首席财务官"的角色，负责在各 代之间做出关键的消费支出决策。 "X世代"的消费重点反映了他们所负的责任。未来10年，"X世代"的支出主要集中在老年人和家属护理、教育、乐器和游戏机等耐用消费品以及旅行上。 未来10年，"X世代"将继续引领旅游、医疗保健和教育领域的消费支出。由于"X世代"的照顾责任开始减少，"X世代"的规模也开始下降，目前年龄在29至 44岁之间的"千禧一代"将会 ...

转自：北京日报客户端 世界经济论坛10日发文指出，X世代已经成为全球最高消费群体。全球"X世代"人口约有14亿，占总人 口的17%，但"X世代"对消费市场影响力十分强大且仍在增长。 "X世代"从2021年开始引领全球消费支出，这一领先地位将保持至2033年。在德国、日本、英国、美国 等高收入市场，"X世代"消费主导地位预计持续到2036年。2025年，"X世代"预计将推动全球15.2万亿美 元的消费支出。 "X世代"的消费重点反映了他们所负的责任。未来10年，"X世代"的支出主要集中在老年人和家属护 理、教育、乐器和游戏机等耐用消费品以及旅行上。 未来10年，"X世代"将继续引领旅游、医疗保健和教育领域的消费支出。由于"X世代"的照顾责任开始 减少，"X世代"的规模也开始下降，目前年龄在29至44岁之间的"千禧一代"将会在总消费支出上超过X 世代。不过，"X世代"仍将保持较高的人均支出水平。 "X世代"的影响力在一些低收入和中等收入国家已开始下降，原因是这些地区的平均预期寿命相对较 低。 来源：北京日报客户端 "X世代"出生于1965年至1980年，常被视为"被遗忘的一代"。文章称，"X世代"当前正值消费和收 ...

中新社北京9月23日电 题：数字技术与"Z世代"助推俄中文化交流 ——专访俄罗斯驻华大使馆参赞、北京俄罗斯文化中心主任吴丹娜 中新社记者 苏婧欣 随着中俄文化交流不断深入，北京已成为两国文化互动互鉴的重要平台。俄罗斯驻华大使馆参赞、北京 俄罗斯文化中心主任吴丹娜受邀参加2025北京文化论坛。近日，她接受中新社"东西问"专访，围绕数字 技术和"Z世代"赋能当代文化交流等话题，分享对两国文化互动的观察与思考。 现将访谈实录摘要如下： 中新社记者：您在北京生活多久了？您认为这些年来北京的文化生活发生了哪些变化？ 吴丹娜：我已经在北京生活两年了。北京就像一位老朋友一样迎接了我，向我敞开了它的瑰宝——博物 馆、剧院、展览馆等等。近年来，北京的文化生活格外活跃。可以说，北京是一座世界文化之都。 中新社记者：中国观众在体验俄罗斯文化时，您观察到他们对哪些元素最感兴趣？俄罗斯人好奇哪些中 国文化？ 吴丹娜：俄罗斯芭蕾舞在中国极受欢迎，演出门票总是瞬间售罄。就在不久前，北京俄罗斯文化中心举 办米哈伊洛夫斯基剧院芭蕾舞演员马拉特·舍米乌诺夫和伊琳娜·佩伦的专场演出，现场座无虚席，气氛 热烈。 除了芭蕾，中国观众对俄罗斯民间艺术同 ...

"在零售这个环节，我们会扩大团队。我们将继续帮助授权合作伙伴进入海外市场……如今，我们已经 有70多家跨境发展业务合作伙伴，相关业务增长超过了我们的预期。"林丽真介绍。 值得注意的是，当玩具业务在中国市场愈发成熟时，年轻消费者的购买潜力也被进一步挖掘。迪士尼相 关负责人表示，当下重点是了解如今最有消费力和影响力的Z世代(1995~2009年间出生的人)和A世代 (2010年以后出生的人)。 97岁的"米奇"脱下经典背带裤，换上酷感十足的摇滚外套，明年，"米奇和朋友们"还将跨界走进F1赛 场，与全球8.2亿赛车迷一同感受极速激情。很难想象，华特迪士尼公司(以下或称迪士尼)这个已经迈 过"百岁"的娱乐巨头，正用"逆龄化"的潮流突破，让自己始终站在年轻消费群体的视野中心。 9月10日，在华特迪士尼公司大中华区2026消费品部启动大会上，迪士尼中国方面展望道："1995年至 2024年之间出生的新生代，已经占据全球43%的人口，他们将会是未来消费市场增长的核心要素。" 盯紧未来核心消费力 迪士尼有三大业务部门：娱乐部门、体育部门和体验部门。在2025财年第三季度，除体育部门外，迪士 尼娱乐部门和体验部门营业收入均实现 ...

Core Insights - Disney is leveraging a "reverse aging" trend to maintain its appeal among younger consumers, with plans to engage with the 8.2 billion global racing fans through collaborations like F1 in the coming year [2] Group 1: Market Position and Strategy - Disney's Consumer Products division is projected to achieve $62 billion in global retail sales by 2025, ranking first among global companies [3] - The company is focusing on Generation Z and Generation Alpha, who represent 43% of the global population and are expected to drive future market growth [3][5] - Disney's experience segment reported a revenue of $992 million in Q3 of FY2025, marking a 3% year-over-year increase [3] Group 2: Consumer Insights - The purchasing power of Generation Z is expected to reach 16 trillion RMB by 2035, with 88% of Generation Alpha influencing family shopping decisions [5] - Disney is adapting its product offerings to align with the characteristics of these generations, including the introduction of tech products alongside traditional toys [5] Group 3: Film and Merchandise Synergy - Animation films are proving to be more commercially viable than live-action films, with merchandise sales being a significant revenue stream [6] - Disney is strategically positioning its IPs, such as the upcoming live-action "Lilo & Stitch," to enhance its licensing business in China [6][9] - The anticipated release of "Zootopia 2" is expected to significantly impact Disney's licensing revenue, with over 2,000 related products planned for release in the Greater China region by the end of 2025 [9][11] Group 4: Localization Efforts - Disney is actively pursuing localization strategies in China, including collaborations with local animation studios to create culturally relevant promotional content [11]

Core Viewpoint - The article emphasizes the unique relationship between Generation Z and AI, positioning them as the "natives" of the AI era who are not just users but co-creators with AI technology [4][21][27]. Group 1: AI and Generation Z - Generation Z (born between 1995 and 2009) is expected to drive the next wave of innovation in AI, viewing it as a fundamental service akin to mobile phones and WiFi [4][21]. - The article highlights the importance of understanding what Generation Z is concerned about and how they are engaging with AI [5][21]. Group 2: Cloud Conference Initiatives - Alibaba Cloud, in collaboration with Founder Park, is creating a dedicated platform for Generation Z at the upcoming Cloud Conference, showcasing their creativity and innovations in AI [6][8]. - The Cloud Conference, which has evolved since its inception in 2009, will feature a special exhibition titled "AI New Generation Q&A: A Growth Atlas of Young Creativity" [7][17]. Group 3: Call for Participation - A call for submissions has been launched for "Z Generation AI Innovation Works" and "Z Generation AI 100 Questions," inviting young innovators to share their AI-related projects and inquiries [10][19]. - The exhibition will present 50 outstanding cases from Generation Z innovators, allowing them to showcase their work to an audience of 60,000 attendees [12][10]. Group 4: Engagement and Interaction - The article encourages Generation Z to express their questions about AI, with the opportunity for selected inquiries to be addressed by experts at the conference [21][25]. - Participants can submit questions in the comments section, with incentives such as prizes and conference tickets for the most engaging contributions [24][25].

Core Viewpoint - Bilibili (BILI.US) shows strong growth potential driven by a thriving content and user ecosystem, particularly among the younger generation in China [1] User Engagement - As of February 2025, 70% of China's Generation Z (born between 1985-2009) are users of Bilibili, indicating significant market penetration [1] - The number of premium members exceeded 23.5 million as of Q1 2025, representing a year-on-year increase of 7.3% and accounting for 6.4% of Monthly Active Users (MAU) [1] - Over 80% of premium members are on annual subscription or auto-renewal plans, showcasing high user retention [1] Revenue Streams - Bilibili's gaming, value-added services, advertising, and IP derivatives are all experiencing accelerated commercialization [1] - The gaming segment demonstrates long-term viability, with revenue growth sustained through three main contributions, and new game launches expected to drive additional revenue in the second half of the year [1]

Core Insights - The Central Political Bureau of the Communist Party of China emphasized the need to effectively unleash domestic demand potential, with ongoing policy support expected to boost consumer confidence [1] - The retail sales of home appliances and audio-visual equipment, as well as furniture, have seen strong growth of 30.7% and 22.9% year-on-year respectively, driven by the old-for-new subsidy policy [1] - New consumption trends in China, represented by sectors such as tea beverages, trendy toys, light luxury goods, and pet products, are rapidly emerging and reshaping the market [1] - The "Z generation," born between 1995 and 2009, is becoming a core driver of the new consumption wave, contributing 40% of total consumption despite representing less than 20% of the population [1] - By 2035, the overall consumption scale of the Z generation is expected to quadruple to 16 trillion yuan, indicating significant structural growth opportunities as their purchasing power continues to rise [1]

Core Insights - The concept of "City Z" represents a vibrant and youthful urban environment that attracts China's Generation Z, characterized by their high energy and diverse interests [1][2] - The competition among cities is fundamentally a battle for the youth population, as attracting young people is seen as key to future economic growth [2][3] Group 1: Demographics and Economic Impact - Generation Z in China, comprising 280 million individuals born between 1995 and 2009, has a monthly disposable income exceeding 3,500 yuan, contributing over 5 trillion yuan to national consumption, which is projected to grow to 16 trillion yuan by 2035 [2][3] - Cities with a younger demographic, such as Shenzhen, have an average age of 32.5 years, while many older cities are experiencing significant aging populations [2][3] Group 2: Urban Appeal and Lifestyle Preferences - Young people prioritize cities that offer a balance of work and leisure, cultural activities, and a vibrant social scene, reflecting a shift from merely seeking economic opportunities to desiring a fulfilling lifestyle [5][12] - The "City Z" phenomenon highlights the importance of lifestyle factors, such as affordability, convenience, and cultural vibrancy, in attracting and retaining young residents [12][13] Group 3: Urban Migration Trends - The migration patterns indicate a trend where young people are moving from traditional urban centers to emerging cities that offer better living conditions and opportunities [8][9] - Cities like Chengdu, Changsha, and Xiamen are becoming popular among young people due to their lower living costs and rich cultural offerings [12][13] Group 4: City Strategies for Attracting Youth - Cities are implementing strategies to attract young talent, including offering incentives like housing subsidies, talent bonuses, and improved public services [6][11] - The success of these strategies depends on creating a community that aligns with the interests and lifestyles of young people, ensuring they feel a sense of belonging [12][13]

Group 1 - The core theme of the event is how big data analysis drives AI optimization and innovation, emphasizing the importance of interpreting complexity rather than just the quantity of data [2] - Z generation possesses a unique ability to extract valuable signals from noise in a data-saturated environment, which is crucial for both humans and AI systems [3] - Retaining "dirty data" can sometimes be more valuable than overly cleaned data, especially in fields like fraud detection where atypical behaviors are key indicators [3] Group 2 - Cross-domain data fusion is essential for AI optimization, allowing for a more comprehensive understanding of market dynamics beyond traditional financial metrics [4] - The shift from "big data samples" to "small data samples" highlights the importance of "meta-learning," enabling AI to adapt quickly with fewer data points [4][5] - This transition offers advantages such as enhanced privacy protection and improved response speed, allowing AI to remain efficient in rapidly changing environments [6]