This paper investigates the causal impact of negatively and positively toned 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 among non-male students, indicating widespread AI concerns among vulnerable 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 AI will inevitably shape.

翻译：本文研究了带有积极和消极色彩的ChatGPT人工智能讨论对美国学生预期劳动力市场结果的因果影响。我们的发现表明，学生在接触人工智能讨论后，对未来薪资前景的自信程度有所降低，且这一效应在阅读带有消极语调的讨论摘录后更为显著。与STEM专业学生不同，非STEM领域的学生表现出非对称且悲观的信念变化，这可能表明他们对新兴人工智能技术感到更加脆弱。关于未来薪资的悲观信念更新在非男性学生中也普遍存在，这表明弱势学生群体中广泛存在对人工智能的担忧。教育工作者、管理者和政策制定者应定期与学生互动，以解决他们的顾虑，并优化教育课程，使他们更好地为人工智能将不可避免塑造的未来做好准备。