Marshall Steinbaum, a PhD economist at the University of Chicago, recently shared a viral post on social media platform X, revealing that his current work primarily involves editing AI-generated text. He humorously noted that he spends significant time removing em-dashes from outputs produced by the AI model Claude to make the text less recognizable as machine-generated. This comment resonated with many professionals, who acknowledged the growing trend of editing AI content in various fields. The irony of needing to strip away stylistic elements like em-dashes—often associated with quality writing—has led to a lively discussion about the authenticity of AI-generated material. Users across disciplines, including engineering, reported similar experiences, indicating that this phenomenon is not limited to economics. Many commenters raised questions about originality and the necessity of adapting AI outputs to meet human expectations, reflecting a broader concern about the future of written communication in an AI-driven world.