This paper investigates the causal impact of negatively and positively framed ChatGPT Artificial Intelligence (AI) discussions on US students' anticipated labor market outcomes. Our findings reveal students reduce their confidence regarding their future earnings prospects after exposure to AI debates, and this effect is more pronounced after reading discussion excerpts with a negative tone. Unlike STEM majors, students in Non-STEM fields show asymmetric and pessimistic belief changes, suggesting that they might feel more vulnerable to emerging AI technologies. Pessimistic belief updates regarding future earnings are also prevalent across gender and GPA levels, indicating widespread AI concerns among all student subgroups. Educators, administrators, and policymakers may regularly engage with students to address their concerns and enhance educational curricula to better prepare them for a future that will be inevitably shaped by AI.

翻译：本文研究了正面与负面框架下ChatGPT人工智能（AI）讨论对美国学生预期劳动力市场结果的因果影响。研究发现，在接触AI辩论后，学生对其未来收入前景的信心有所下降，且阅读负面基调讨论摘录后这一效应更为显著。与STEM专业学生不同，非STEM领域的学生表现出不对称且悲观的信念变化，表明他们可能更容易受到新兴AI技术的冲击。对未来收入的悲观信念更新在性别和GPA水平上普遍存在，反映出所有学生子群体对AI的广泛担忧。教育工作者、行政人员及政策制定者应定期与学生沟通以缓解其关切，并优化教育课程，使学生更好地适应必将被AI塑造的未来。