Students with severe depression turn to AI for mental health support

A new study has revealed that college students are increasingly turning to artificial intelligence for mental health support. Published in the Journal of Affective Disorders, the research highlights a growing reliance on unregulated digital tools among those facing severe psychological challenges. The study analysed data from 675 students across two academic institutions. It found that 18% of those surveyed used AI for mental health assistance. Students with more severe symptoms, including moderate depression, severe depression, severe anxiety, or active suicidality, were twice as likely to seek help from AI.

Asian students were particularly affected, being twice as likely to use AI for mental health compared to their peers. Researchers noted that barriers to traditional clinical care and cultural factors may drive this trend. The constant availability and unconditional validation of generative AI were identified as potential psychological risks, possibly undermining real-world emotional regulation.

The findings also emphasised the need for AI developers to include crisis detection protocols. These would flag self-harm phrasing and trigger immediate human intervention or referrals. Universities were urged to audit student AI use to better understand how these tools are being used in place of or alongside formal medical care. The study underscores the role of AI as a substitute for formal psychiatric counselling, especially among students with severe depression. It calls for proactive measures to address the risks and ensure appropriate support systems are in place.