Core Viewpoint - The rise of AI, particularly generative AI, is significantly transforming the job market and entrepreneurial landscape, posing threats to certain types of businesses while also creating new opportunities for others [1][4][43]. Group 1: Impact of AI on Employment - According to McKinsey's 2023 report, by 2030, approximately 12 million people in the U.S. may need to change jobs due to AI automating 60%-70% of tasks, especially in white-collar jobs [2]. - The World Economic Forum warns that AI could lead to the disappearance of 83 million jobs globally in the next five years, despite the emergence of 69 million new jobs, resulting in a net loss of 14 million jobs [3]. Group 2: Vulnerable Entrepreneurial Segments - Entrepreneurs relying on repetitive labor are at high risk, as AI excels in standardizing and automating tasks such as data entry and document organization [8][9]. - Content creators lacking originality and deep insights are also vulnerable, as AI-generated content can easily surpass template-based or "rewritten" content [12][13]. - Businesses that cater to "pseudo-needs" or low-value services are threatened, as AI can streamline processes and eliminate inefficiencies, making these services redundant [17][18]. Group 3: Resilient Entrepreneurial Segments - Entrepreneurs who can integrate AI tools to create new business models are well-positioned for success, leveraging AI to enhance efficiency and decision-making [24][25]. - Those skilled in brand building and community engagement can thrive, as AI struggles to replicate human emotional connections and storytelling abilities [28][30]. - Businesses that require complex interpersonal interactions, such as high-end services and emotional support roles, are less likely to be replaced by AI due to the need for human empathy and adaptability [35][40].

Core Viewpoint - The increasing capability of AI-generated content has led universities to implement strict measures for detecting AI usage in student theses, raising concerns about the reliability of such detection systems and the potential for misjudgment in evaluating original work [1][5]. Group 1: AI Detection Issues - Some universities require that students' theses have an AI detection rate below 15%, but there are reports of original work being flagged as having a high AI rate due to inconsistencies in detection results [1][4]. - A case was reported where a student's thesis showed a significant fluctuation in AI detection rates within a day, from 10.37% to 27.54%, leading to additional costs for revisions [1][2]. - A professor experienced similar issues, where content developed over three years was incorrectly flagged as AI-generated, highlighting the inadequacy of current detection tools [3][4]. Group 2: Expert Opinions - Experts acknowledge that misjudgments in AI detection are common and that the technology cannot completely eliminate errors, as it may not be trained on specific contexts [5]. - The standards for determining whether a paper is AI-generated remain vague, making it challenging for detection systems to accurately assess originality [5]. - Recommendations suggest that universities should not enforce AI detection as a mandatory graduation requirement but rather focus on guiding students in the appropriate use of AI tools [5].