AI应用产业拐点已至

Core Viewpoint - The current phase marks the early turning point of the AI application industry, with market sentiment reaching a beta stage, and the demand for AI applications is expected to rebound significantly in 2026 as foundational large models become more affordable and efficient [1][3]. Group 1: AI Application Demand - 2026 is anticipated to be the year of explosive demand for AI application agents, driven by continuous upgrades of global foundational large models throughout 2025, making them cheaper, smarter, and more reliable [3]. - The development logic of emerging industries follows a pattern: new supply products emerge, stimulating experimental demand, leading to qualitative changes in supply product performance, and eventually resulting in a consensus on demand that drives commercial value [4]. Group 2: Market Dynamics - The current internet era relies heavily on self-media for widespread exposure of new concepts, which accelerates the penetration of AI technology into the public consciousness and increases the frequency of mentions in institutional research reports [7]. - The AGI-Next summit highlighted the disparity in computational resources between the U.S. and China, with the former having superior hardware while the latter excels in algorithm optimization under resource constraints [8]. Group 3: Business Models and Applications - GEO (Generative Engine Optimization) is a new discipline emerging from the proliferation of generative AI, fundamentally differing from traditional SEO in its approach to information retrieval and optimization logic [9]. - The commercial value of GEO focuses on high-ticket scenarios such as legal and medical fields, contrasting with SEO's broader but lower-value applications [9]. Group 4: Industry Collaboration - Large model companies are unlikely to directly engage in GEO-related services to maintain the neutrality and reliability of their information, preferring to build ecosystems and provide technical interfaces for third-party service providers [11]. - The collaboration between large model companies and GEO service providers will ensure that advertising demands are met through a clear division of responsibilities, maintaining platform integrity while optimizing content [12]. Group 5: Market Sentiment and Future Outlook - The current market sentiment is at a turning point for AI applications, with a focus on emotional and funding-driven scenarios in the short term, transitioning to a phase of fundamental growth expectations later in the year [13]. - Key scenarios include AI marketing (GEO) and AI for science as primary emotional funding scenarios, while secondary scenarios like AI companionship and AI programming are expected to gain traction [13].