实测近十款AI高考志愿填报产品：存在定位偏差、信息失实等硬伤

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and Limitations - AI application products exhibit several shortcomings, including inaccurate ranking positioning, outdated data, and misleading information [1][3][9].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].