Recently, the 2026 cohort of college graduates are entering the stage of thesis defense one after another. Many universities have started to test the AIGC rate of graduation theses, that is, using artificial intelligence-generated content detection technology to analyze and compare thesis texts from multiple dimensions such as language patterns and semantic logic, and determine the proportion of 'AI-generated content'. If the proportion exceeds the prescribed upper limit, the thesis will not be allowed to participate in blind review and defense. Against the backdrop of AI's deep integration into the education system, the use of AIGC in graduation theses and the definition of its boundaries have become focal points of attention. Since the beginning of this year, many universities, including Sichuan University, Nanjing University of Technology, Guangxi Normal University, and Hebei University of Engineering, have successively issued notices requiring undergraduate graduation theses to undergo AIGC detection and setting clear requirements for the AIGC rate of theses. For example, Sichuan University requires that the proportion of AI-generated content in liberal arts graduation theses should not exceed 20%, and that in science, engineering, and medical theses should not exceed 15%. However, AIGC detection technology is not yet perfect, with instances of misjudgment, and there are differences in standards and results among different detection platforms. Experts suggest that universities could appropriately relax the requirements for AIGC pass rates to avoid technical misjudgments affecting students' normal defenses, and at the same time, AIGC detection results should not be used as the sole basis for evaluation. In addition, relevant national departments should expedite the introduction of technical requirements and standards for AIGC detection tools to improve their quality and credibility.