AI应用的“妖风”还能吹多久？

Core Viewpoint - The article discusses the volatility and potential of AI application stocks, highlighting the recent surge and subsequent decline in their prices, emphasizing the need for logical investment rather than speculative trading [3][4][6]. Group 1: AI Application Market Dynamics - The AI application market saw a significant surge starting January 9, driven by the IPO of MiniMax, which rose over 90%, boosting market confidence in AI commercialization [3][4]. - Following the initial excitement, many AI companies issued announcements clarifying their limited revenue from AI, leading to a sharp price correction in the sector [4][5]. - The article suggests that while the current market may present opportunities, investors should focus on companies with genuine value and sustainable business models [4][7]. Group 2: GEO Model in Advertising - The article introduces the GEO (Generative Engine Optimization) model as a transformative approach in advertising, allowing users to input specific demands and receive optimized product recommendations directly from AI [9][11]. - The GEO market is projected to grow significantly, with estimates of $2.9 billion in China and $11.2 billion globally by 2025, indicating a shift from traditional SEO to AI-driven marketing strategies [11][12]. - Companies that own AI models and user behavior data are expected to be the primary beneficiaries of the GEO model, similar to how Google and Baidu benefited during the SEO era [12][13]. Group 3: AI in Healthcare - The AI healthcare sector has shown strong performance, with companies like 泓博医药 and 迪安诊断 seeing over 50% gains year-to-date, driven by increasing market interest [22][24]. - Government policies are increasingly supportive of AI in healthcare, with initiatives aimed at integrating AI into medical services and diagnostics [24][25]. - The article notes that advancements in AI healthcare applications, such as OpenAI's ChatGPT Health, are enhancing market sentiment and could lead to further growth in the sector [26][29]. Group 4: AI in Financial Technology - The financial technology sector has also experienced growth, with a 14% increase in the financial technology ETF as of January 14, 2026 [37]. - AI is expected to enhance the capabilities of both internet finance companies and financial IT firms, improving customer engagement and operational efficiency [38][39]. - However, the article cautions that while AI can improve operational efficiencies, it may not fundamentally change the poor business models prevalent in financial IT companies [40].