The emerging widespread usage of AI has led to industry adoption to improve efficiency and increase earnings. However, a major consequence of this is AI displacing employees from their jobs, leading to feelings of job insecurity and uncertainty. This is especially true for computer science students preparing to enter the workforce. To investigate this, we performed semi-structured interviews with (n = 25) students across computer science undergraduate and graduate programs at the University of Toronto to determine the extent of job replacement anxiety. Through thematic analysis, it was determined that computer science students indeed face stress and anxiety from AI displacement of jobs, leading to different strategies of managing pressure. Subfields such as software engineering and web development are strongly believed to be vulnerable to displacement, while specialized subfields like quantum computing and AI research are deemed more secure. Many students feel compelled to upskill by using more AI technologies, taking AI courses, and specializing in AI through graduate school. Some students also reskill by pursuing other fields of study seen as less vulnerable to AI displacement. Finally, international students experience additional job replacement anxiety because of pressure to secure permanent residence. Implications of these findings include feelings of low security in computer science careers, oversaturation of computer science students pursuing AI, and potential dissuasion of future university students from pursuing computer science.

翻译：人工智能的广泛普及促使行业采用该技术以提高效率和增加收益。然而，这带来的一个主要后果是人工智能取代了员工的工作，导致职业不安全感和不确定性。对于准备进入职场的计算机科学学生而言，这种情况尤为显著。为探究此现象，我们对多伦多大学计算机科学本科及研究生项目的学生（n = 25）进行了半结构化访谈，以评估职业替代焦虑的程度。通过主题分析，研究发现计算机科学学生确实因人工智能替代工作而面临压力与焦虑，并采取了不同的压力管理策略。学生普遍认为软件工程和网页开发等子领域极易受到替代威胁，而量子计算和人工智能研究等专业子领域则被视为相对安全。许多学生感到有必要通过使用更多人工智能技术、选修人工智能课程以及在研究生阶段专攻人工智能来提升技能。部分学生也通过转向被视为受人工智能替代影响较小的其他研究领域进行技能重塑。此外，国际学生因获取永久居留权的压力而经历了额外的职业替代焦虑。这些发现的影响包括：计算机科学职业安全感低下、计算机科学学生过度集中于人工智能领域，以及可能阻碍未来大学生选择计算机科学专业。