2026-01-20 02:40Summary of Key Points from the Conference Call Industry Overview - The report focuses on the structural changes in the global AI industry as of early 2026, particularly highlighting the divergence in AI application markets between China and the United States [1][1]. Macro Trends and Market Divergence - The AI application market in China and the U.S. is experiencing a stark contrast, described as "ice and fire" [1][1]. - U.S. software stocks have significantly declined since January 2026, primarily due to concerns raised by Anthropic's release of an Agent product capable of fully automated workflows, which has disrupted market perceptions of software development costs and value [1][1]. AI Application Ecosystem - The Chinese AI application ecosystem is more inclined towards "closed-loop integration," with leading companies leveraging their own traffic and ecosystems to rapidly implement Agent functionalities [2][2]. - Since August 2025, upstream computing power (chips, devices, storage) has shown strong performance, while downstream application sectors (internet, software companies) have exhibited weakness [2][2]. Technology Evolution and Model Landscape - Basic models are entering a linear growth phase, with the first tier consisting of Anthropic, OpenAI, and Gemini, while the second tier includes Grok, Zhiyu, and Kimi [3][3]. - Domestic models like Tongyi Qianwen are lagging, while Deepseek V4 is expected to challenge the first tier [3][3]. - There has been no breakthrough leap in capabilities, but overall abilities are steadily improving [4][4]. - Multimodal capabilities are becoming critical, with models like Google’s NanoBanana enhancing Agent performance in various applications [4][4]. - Vertical models are shifting towards a "post-training + reinforcement learning" approach, internalizing expert reasoning rather than relying on external retrieval systems [4][4]. Comparison of Domestic and International AI Applications - In China, companies like ByteDance, Tencent, and Alibaba are integrating AI into their ecosystems effectively, with Alibaba's Tongyi Qianwen being recognized as the first true consumer-facing Agent [5][5]. - In contrast, international players like Anthropic focus on programming workflows, while OpenAI and Google are still primarily chatbot-oriented, lacking in task planning capabilities [5][5]. Investment Logic and Recommendations - Upstream sectors such as storage (DRAM/HBM/SSD), semiconductor equipment, and power equipment are expected to benefit from the shift in AI inference demand and TSMC's planned capital expenditure increase of 30%-40% in 2026 [6][6]. - Platform companies that integrate ecosystems, models, and traffic are highlighted, with Alibaba and Tencent being key players in China [6][6]. - Recommendations for terminal scene companies include Meitu, Roblox, and Reddit, while ToB tool companies like Adobe and Figma are noted for their collaborations with large model companies [7][7]. Core Judgments and Outlook - The year 2026 is termed the "third year of the Agent," with high market premiums but uncertain outcomes [7][7]. - The core competitiveness of Agents is shifting from "general dialogue" to "automated workflow execution," particularly in vertical fields like programming and healthcare [7][7]. - Domestic AI applications are advancing rapidly in consumer markets due to closed ecosystems, while international markets are more disruptive in B2B workflow automation [7][7]. - Storage demand is transitioning from training to inference, with SSDs expected to become the foundational infrastructure for the next generation of Agents [7][7]. - The document emphasizes a critical turning point in the AI industry from "model competition" to "application implementation," with clear divergence in paths between China and the U.S. [7][7].