Core Viewpoint - The Google I/O developer conference showcased a lack of surprises, with the most significant change being the introduction of the "AI Mode" for search, which aims to fundamentally reshape how users interact with search engines [1][3]. Group 1: AI Mode and Search Engine Transformation - Google has introduced "AI Mode," allowing users to interact with Gemini AI for information retrieval, moving away from traditional blue search links [3][12]. - CEO Sundar Pichai emphasized that this represents a complete overhaul of the search process, marking a new phase in AI platform transformation [3][11]. - The shift to AI-driven search is a response to declining search usage, as users increasingly turn to AI tools for information [5][7]. Group 2: Market Dynamics and Competition - Google's search market share has reportedly fallen below 90% for the first time in a decade, prompting the need for significant changes to avoid obsolescence [5][7]. - The traditional search model, based on keywords and links, is becoming less relevant as users prefer direct answers rather than sifting through multiple links [9][11]. - The rise of AI chatbots is fundamentally altering how users seek information, with platforms like ChatGPT attracting significant user engagement [11]. Group 3: Technological Advancements - Gemini 2.5 Pro, supporting "AI Mode," offers advanced capabilities such as long context windows and enhanced reasoning, setting it apart from previous models [12]. - The core competitive advantage of "AI Mode" lies in its multimodal search technology, integrating text, images, voice, and video inputs [12][14]. Group 4: Advertising Strategy - Google plans to adapt its advertising model by labeling ads as "Sponsored" and placing them strategically within the AI dialogue to maintain user trust and engagement [14][16]. - The introduction of "Shopping Graph 2.0" aims to leverage AI for a seamless shopping experience, featuring 50 billion product nodes and real-time price updates [14][16].

Core Viewpoint - The transition from traditional search engines to AI search is ongoing, with various companies exploring how to adapt their advertising models in response to this technological shift [1][9]. Group 1: AI Integration in Browsers - Apple plans to introduce AI features in its Safari browser, while Baidu has launched its AI search, DeepSearch [1]. - QQ Browser has upgraded to an AI browser with the introduction of QBot, utilizing Tencent's mixed model and DeepSeek [1]. - The upcoming Google I/O developer conference is expected to address advancements in AI search [1]. Group 2: User Engagement and Market Dynamics - Eddie Cue from Apple noted a decline in Safari's search volume, attributed to increased AI usage, while QQ Browser reported a rise in daily active users (DAU) during AI feature testing [3]. - Google’s market share in global search engines has fluctuated between 89% and 91%, indicating that it has not been significantly impacted by AI [3]. - The current consensus is that AI search and traditional search engines are complementary, with traditional search engines effectively addressing user needs [4]. Group 3: Commercial Viability and Advertising Models - AI search has not yet replaced traditional search engines due to immature business models, as many AI search products do not currently generate advertising revenue [9]. - Google reported that over 70% of its revenue comes from advertising, with search ads growing by 9.8% year-over-year in Q1 of FY2025 [9]. - Tencent's Q1 report highlighted that AI capabilities have positively impacted its advertising business, enhancing user-advertiser matching efficiency [10].