总的来说，2024年至今，AI算力基建与HBM技术革命成为新引擎，直接改写了传统周期逻辑。
ChandelureIntroduced in Gen V (2010)
。WPS下载最新地址对此有专业解读
Personalization in AI search is emerging as models learn to consider individual user preferences, history, and context when formulating responses. This creates both opportunities and challenges for content visibility. The opportunity is that AI might recommend your content more prominently to users whose preferences align with your perspective or style. The challenge is that you might become invisible to users whose personalization profile doesn't match, even if your content is objectively relevant to their query.
不过高增长的另一面，高退货率、价格争议、AI能力等问题也逐渐显现。