As AI moves from classroom experimentation to everyday infrastructure, campuses are seeing fast adoption of tools for writing, research, and student coaching—alongside rising concerns about reliability. While the specific reporting focuses on career and education experiences, it intersects with a broader campus challenge: how to train students to use AI effectively without introducing errors into work products. The story describes how students and classmates at London Business School integrated AI tools into resumes, mock interviews, lecture note-taking, and presentation workflows, with the primary value described as the learning environment and peer network as much as the tools themselves. For higher education professionals, the development reinforces the need for consistent AI literacy instruction—particularly around verification, citation integrity, and academic standards—so that AI-enabled productivity does not translate into avoidable quality lapses.