当房价连续数月的"跌跌不休"时，比下跌数字更值得玩味的，是这场房价缓慢降温正悄悄改写无数普通 人的生活剧本——从手握多套房的房东、焦头烂额的房企，到潇洒转身的年轻人，三股暗流正悄然重塑 中国楼市的生态。 曾经躺着赚钱的"多房族"，如今成了最焦虑的一群人。价格阴跌不是最可怕的，流动性枯竭才让人窒 息，杭州中介透露，200万以上的二手房平均成交周期超过8个月，买家砍价动辄15%起。 一位北京投资者苦笑："郊区两套房半年降价20%仍无人问津，每月还贷加物业费超过2万。"更棘手的 是，房产税试点预期像悬着的剑，持有成本持续攀升。 这种"地理套利"正成为新潮流——清迈、里斯本等数字游民热点以300-800美元月租提供带高速网络的 生活空间，国内房企也迅速跟进，在新盘增设共享办公区，甚至与WeWork合作提供会员资格。 价值观的迭代更深刻：一线城市房价收入比超20倍，让越来越多年轻人选择"拿月供换体验"，2024年现 房销售增长19.4%就是明证——他们连买房都要"所见即所得"，拒绝为幻想买单。 这场房价回落，仿佛一面镜子，照见了我们从"财富幻觉"走向"真实需求"的集体转型。当房子逐渐卸下 金融铠甲，回归居住本质时，生活 ...

Core Insights - The AI industry is experiencing a dichotomy between the continuous release of application-level imagination and the uncertainties brought by technological iterations, making each entrepreneurial decision critical [1] - The maturity of the industry ecosystem provides a fertile ground for startups, with Beijing's Haidian District's AI core industry scale exceeding 280 billion yuan in 2024, growing at 30% annually, and accounting for 80% of the city's and a quarter of the nation's total [1] - There is a consensus in the industry that it is better to enter early but with precise predictions regarding timing, likening the current moment to the mobile internet turning point of 2011-2012 [1][2] Industry Dynamics - The differentiation of genuine demand is seen as a critical factor for entrepreneurial success, with AI value either creating new experiences or enhancing efficiency [2] - The industry is still in an early stage, similar to the early days of the internet, with expectations for more practical applications to emerge [2] - Four principles proposed for AI development include: algorithms must outperform humans, must exponentially enhance productivity, there must be a significant productivity gap for customers, and industry demand must be sufficiently deep [2] Market Trends - By 2025, AI entrepreneurship is expected to move beyond a focus on technical prowess, with a need to align AI functionalities with real-world scenarios to avoid market obsolescence [2] - The market is likely to witness price wars due to insufficient demand depth, emphasizing the importance of complex scenarios for sustaining technological advantages [2] - The core logic of AI entrepreneurship is becoming clearer, focusing on capturing industry explosion windows while anchoring on genuine demand [2]