College life is known for its unique pressures, leading to rising rates of stress and anxiety among students. With traditional counseling services often overstretched, could AI step in to help bridge the gap? A fascinating new research paper explores students' opinions on using Large Language Models (LLMs), like those powering ChatGPT, for campus mental health support. Researchers at Princeton University presented students with five fictional scenarios involving AI, ranging from general information inquiries to long-term care and follow-up. The results reveal a surprising mix of optimism and apprehension. Students saw the most promise in using LLMs for initial mental health screenings and follow-up care, finding AI particularly helpful for personalized questions and timely reminders. These are areas where AI could improve efficiency and accessibility to resources, especially when human counselors are in short supply. However, for scenarios requiring more nuanced emotional support, like long-term counseling or navigating complex patient-expert relationships, students expressed more hesitation. Concerns arose about the ability of AI to truly understand and respond to complex emotional needs, potentially leading to unempathetic or even inaccurate advice. The study highlights a key takeaway: AI could be a powerful tool in supporting student mental health, but not as a replacement for human connection. Instead, researchers emphasize the importance of designing AI systems that *complement* traditional counseling, stepping in to handle routine tasks and improve access while ensuring that human professionals remain at the center of care. The future of mental health support on college campuses might involve a blend of human empathy and AI efficiency, working together to provide students with the timely, personalized support they need to thrive.