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 [4][5][7]. Group 1: AI Application Market Dynamics - The AI application market experienced a significant surge starting January 9, driven by the IPO of MiniMax, which saw a price increase of over 90%, boosting market confidence in AI commercialization [5]. - Following the initial excitement, many AI application companies issued announcements clarifying their limited revenue from AI, leading to a sharp price correction in the sector [7]. - The article suggests that while the AI application sector is currently volatile, it has the potential to create long-term value if investors can identify companies with genuine business models and revenue streams [9]. Group 2: GEO Model in Advertising - The article introduces the GEO (Generative Engine Optimization) model, which allows users to input specific demands and receive optimized product recommendations directly from AI, streamlining the purchasing process [11]. - The GEO market is projected to grow significantly, with estimates of $2.9 billion in China and $11.2 billion globally by 2025, and reaching $24 billion and $100.7 billion by 2030 respectively [13]. - GEO is seen as a transformative force in marketing, shifting the power dynamics towards platforms that can leverage AI models effectively, similar to how Google and Baidu dominated the SEO era [16][17]. Group 3: AI in Healthcare - The AI healthcare sector has shown strong performance, with companies like Hongbo Medicine and Dian Diagnostics seeing stock increases of over 50% year-to-date [28]. - Government policies are increasingly supportive of AI in healthcare, with initiatives aimed at integrating AI into high-end medical equipment and remote healthcare applications [30]. - The article notes that AI healthcare applications are moving from concept to clinical use, with companies like Tempus AI reporting an 83% revenue growth, indicating a positive trend for domestic firms in the sector [31]. Group 4: AI in Financial Technology - The financial technology sector has also seen a rise, with the Financial Technology ETF increasing by over 14% since the beginning of 2026 [46]. - AI is expected to enhance the capabilities of internet financial companies by improving customer engagement and operational efficiency through advanced tools [48]. - However, the article cautions that while AI can improve operational efficiency, it may not fundamentally change the poor business models of many financial IT companies, which face challenges such as high customization costs and fragmented market share [49].