Core Viewpoint - The integration of AI technology in college entrance examination (Gaokao) application processes has become a significant highlight this year, with various education technology companies and internet giants launching AI-based application products and services [1][3]. Industry Overview - The paid scale of China's Gaokao application market was 950 million yuan in 2023, with nearly 90% of examinees willing to choose application services. The market is expected to grow to 1.09 billion yuan by 2025 [3]. - The rapid maturity of large model technology and increased user adoption have made the Gaokao application sector a competitive battleground, with nearly ten companies launching smart application products this year [3][4]. Product Analysis - AI application products can be categorized into three main types: 1. Data-driven products that integrate admission scores, rankings, and professional details to match users with "reach, stable, and fallback" options [4][6]. 2. Products based on large model technology that support user interaction and multi-turn dialogue to provide application suggestions [4][8]. 3. Platforms with personalized diagnostic systems that focus on individual needs, incorporating career assessments and generating professional inclinations [4][6]. Product Performance - The official platform, Sunshine Application Information Service System, is noted for its authoritative data and public service, providing intelligent filtering for applicants [6]. - Quark's "Smart Application" feature recommends schools and majors based on basic information and allows for personalized preferences [6][7]. - Other products like Baidu's AI Assistant and Homework Help offer similar functionalities, providing recommendations and admission probability predictions [7][8]. Challenges and Limitations - AI application products exhibit several shortcomings, including inaccurate ranking positioning, outdated data, and misleading information [1][3][9]. - Real-world testing revealed significant discrepancies between AI-generated rankings and actual data, leading to inappropriate school recommendations [12][13]. - The AI tools may struggle with new programs lacking historical data, potentially misleading users [22][23]. Expert Insights - Experts suggest that AI application tools should be viewed as "information filters" rather than decision-makers, emphasizing the importance of human verification of key data [21][23]. - The value of AI lies in its ability to process structured data, alleviating the workload of students and parents while allowing for a focus on individual needs [22][24].

Core Insights - The competition among major internet companies to provide AI-driven college admission consulting services, dubbed "AI Zhang Xuefeng," has intensified as the 2025 college entrance examination results are released [2][8] - Alibaba's Quark has significantly increased its computing power by 100 times to handle the surge in demand for its college admission report generation service, which has produced over 3 million reports [1][2] - Tencent's AI application, Yuanbao, has answered over 30 million questions related to college admissions, providing personalized advice based on user data [1][4] Company Developments - Alibaba launched the first domestic AI model specifically for college admission scenarios on June 12, featuring core functions such as deep search, admission reports, and intelligent selection [2] - Tencent upgraded its Yuanbao application to include a "college admission consulting" service, offering unlimited free consultations to users [4] - Baidu integrated multiple AI models into its app to provide diverse recommendations for college admissions, leveraging its extensive search data [6] Market Dynamics - The introduction of AI-driven services has created a competitive landscape where traditional admission consultants, like Zhang Xuefeng, face challenges from free AI alternatives provided by tech giants [8][9] - Users have expressed a preference for human consultants over AI, citing the lack of human assistance in AI services [9] - The accuracy of data sources is emphasized by companies, with Quark and Tencent claiming to have robust databases to ensure the reliability of their recommendations [9][10] Technological Advancements - The emergence of advanced AI capabilities, such as DeepSeek, enhances the ability of AI to analyze and understand user needs, moving beyond simple search engine functions [7] - Quark's AI model has been trained using thousands of expert reports and decision-making processes, allowing it to simulate the reasoning of human experts [10] - The collaboration between AI tools and human experts is highlighted, with AI serving as a supplementary resource for traditional consultants [11]